# POLISCI 338: The Civil-military Paradox in U.s. Politics and Society | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_338) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id fed97efe9b4a36812f819c146a61d770e28df73ba24ae694e7d39192d0435425 ### course id POLISCI 338 ### course uid course\_f2c15f337cc1b02cb59d736a ### catalog version id 6bd060b499a7cff82df5767d4ec3fa27357feef8fe68aa9c2fa196396dc6da31 ### course number 338 ### subjects * POLISCI ### title THE CIVIL-MILITARY PARADOX IN U.S. POLITICS AND SOCIETY ### description Protecting a democratic nation from foreign threats often requires that nation to create a powerful military. Yet the creation of a powerful military may undermine the democracy that it is designed to protect. How do, and how should, democracies manage the paradoxical relationship between civilian authority and military institutions. Explores civilian and military perspectives in U.S. civil-military relations; address issues such as the use of military advice by civilian leaders, military challenges to civil authority, and tensions generated by shared responsibility for national security between the executive, legislative, and judicial branches. Studies how civil-military relations impact wider American society by examining the garrison state hypothesis; debates centered upon the draft versus an all-volunteer force; issues of equity and inclusion; and current concerns regarding a civil-military "gap." ### requirements text Sophomore standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:778:025996 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 7a17b6cb9fc44d97a84f77a3edda2aaaaf8cffd0d890bdad0b33315c3c79cc69 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Examines the paradox of military power in democracies, exploring civilian-military relations and societal impacts. ### llm topics * Civilian leadership and military challenges * Garrison state hypothesis * Draft vs. all-volunteer force * Equity and inclusion in the military * Civil-military gap ### llm skills * Analyze civilian and military perspectives * Study the societal impact of civil-military relations ### llm assumed background None recorded. ### llm search phrases * civil-military relations US * civilian control of military * garrison state hypothesis * civil-military gap * draft vs volunteer force ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash fe2c899b19a81e37044b88b077661388e4f098aa5cbfee4e08af82fb4a2d259f #### course id POLISCI 338 #### current instructors ```json [ { "instructor_uid": "instructor_f82285cbf582f31302ac5213", "message": "No course-specific reviews available", "name": "Scott Mobley", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:979096", "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews 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"instructors": [ "ARTHUR MOBLEY" ], "a": 33, "ab": 3, "b": 4, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 2, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "POLISCI 338" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 338", "course_uid": "course_f2c15f337cc1b02cb59d736a", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ARTHUR MOBLEY", "JIM GINGRAS" ], "a": 41, "ab": 7, "b": 3, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "POLISCI 338" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 338", "course_uid": "course_f2c15f337cc1b02cb59d736a", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "ARTHUR MOBLEY", "CARL CREAGER" ], "a": 49, "ab": 2, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 56, "source_aliases": [ "POLISCI 338" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 338", "course_uid": "course_f2c15f337cc1b02cb59d736a", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ARTHUR MOBLEY", "Monica Ochoa" ], "a": 53, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 54, "source_aliases": [ "POLISCI 338" ] } ] ``` ### statistics #### gpa 3.253 #### graded 999 #### counts * 301 * 262 * 229 * 128 * 55 * 12 * 12 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f2c15f337cc1b02cb59d736a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f2c15f337cc1b02cb59d736a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f2c15f337cc1b02cb59d736a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f2c15f337cc1b02cb59d736a-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_f2c15f337cc1b02cb59d736a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_f2c15f337cc1b02cb59d736a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f2c15f337cc1b02cb59d736a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f2c15f337cc1b02cb59d736a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2532532532532534 #### count 999 #### university ##### size 4015 ##### gpa Percentile 12 ##### count Percentile 90 ##### median Count 144 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 361 | false | | 3.2–3.6 | 1157 | true | | 3.6–4.0 | 2482 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 98, "gpaPercentile": 16, "countPercentile": 94, "medianCount": 122, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 41, "current": true }, { "range": "3.6–4.0", "count": 48, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.888888888888889 ##### count 36 ##### university ###### size 723 ###### gpa Percentile 13 ###### count Percentile 14 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 0, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.138888888888889 ##### count 72 ##### university ###### size 720 ###### gpa Percentile 30 ###### count Percentile 52 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 16, "gpaPercentile": 33, "countPercentile": 40, "medianCount": 72.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.2158273381294964 ##### count 139 ##### university ###### size 732 ###### gpa Percentile 36 ###### count Percentile 76 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | false | | 3.2–3.6 | 271 | true | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 70, "countPercentile": 70, "medianCount": 95, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.0684931506849313 ##### count 73 ##### university ###### size 774 ###### gpa Percentile 23 ###### count Percentile 54 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 38, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.111940298507463 ##### count 134 ##### university ###### size 804 ###### gpa Percentile 26 ###### count Percentile 78 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 69, "medianCount": 94.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.9580152671755724 ##### count 131 ##### university ###### size 851 ###### gpa Percentile 12 ###### count Percentile 78 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 15, "gpaPercentile": 0, "countPercentile": 71, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.9011627906976742 ##### count 86 ##### university ###### size 853 ###### gpa Percentile 8 ###### count Percentile 63 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 69, "medianCount": 59.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.1944444444444446 ##### count 54 ##### university ###### size 918 ###### gpa Percentile 28 ###### count Percentile 39 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 31, "medianCount": 72.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 3, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.0306122448979593 ##### count 49 ##### university ###### size 991 ###### gpa Percentile 13 ###### count Percentile 33 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 38, "medianCount": 57.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.9166666666666665 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1232 ##### term 1232 ##### gpa 3.7857142857142856 ##### count 42 ##### university ###### size 1216 ###### gpa Percentile 68 ###### count Percentile 25 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 91, "countPercentile": 19, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.8461538461538463 ##### count 52 ##### university ###### size 1295 ###### gpa Percentile 73 ###### count Percentile 39 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 90, "countPercentile": 50, "medianCount": 52, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.943396226415094 ##### count 53 ##### university ###### size 1333 ###### gpa Percentile 88 ###### count Percentile 37 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 90, "countPercentile": 48, "medianCount": 53.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.925925925925926 ##### count 54 ##### university ###### size 1320 ###### gpa Percentile 84 ###### count Percentile 36 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | false | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 97, "countPercentile": 31, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4015 ###### gpa 3.64200272300091 ###### top Share 80.72942603475144 ###### count 144 ##### POLISCI ###### size 98 ###### gpa 3.5542158061193283 ###### top Share 78.06891503265373 ###### count 122 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### POLISCI ###### size 13 ###### gpa 3.1997463044343535 ###### top Share 54.23585365978644 ###### count 88 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### POLISCI ###### size 16 ###### gpa 3.238531506836362 ###### top Share 55.06088203147391 ###### count 72.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### POLISCI ###### size 11 ###### gpa 3.1594093862343957 ###### top Share 49.96467915938485 ###### count 95 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.1739664025187007 ###### top Share 53.18004491288821 ###### count 76.5 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### POLISCI ###### size 14 ###### gpa 3.2185323922052858 ###### top Share 55.38573023617504 ###### count 94.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### POLISCI ###### size 15 ###### gpa 3.182300079741595 ###### top Share 52.46119703858788 ###### count 70 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.2576110896081407 ###### top Share 56.95368098781108 ###### count 59.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### POLISCI ###### size 14 ###### gpa 3.301197196812184 ###### top Share 61.93891738722217 ###### count 72.5 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.3267512689228935 ###### top Share 63.863048828219576 ###### count 57.5 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### POLISCI ###### size 32 ###### gpa 3.5006556757964944 ###### top Share 75.79663378946314 ###### count 50.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### POLISCI ###### size 33 ###### gpa 3.5166781206385624 ###### top Share 75.8351096221922 ###### count 55 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### POLISCI ###### size 31 ###### gpa 3.5305358829108964 ###### top Share 77.33733829427872 ###### count 52 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### POLISCI ###### size 32 ###### gpa 3.59050798614564 ###### top Share 80.89004576107973 ###### count 53.5 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### POLISCI ###### size 33 ###### gpa 3.6552318292491512 ###### top Share 84.17209946246977 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_6c8143c69b2d3638ecaafcc3", "name": "NILS RINGE", "count": 774, "terms": [ { "term": "1072", "count": 36, "sections": 1, "gpa": 2.888888888888889 }, { "term": "1084", "count": 72, "sections": 1, "gpa": 3.138888888888889 }, { "term": "1092", "count": 139, "sections": 1, "gpa": 3.2158273381294964 }, { "term": "1102", "count": 73, "sections": 1, "gpa": 3.0684931506849313 }, { "term": "1122", "count": 134, "sections": 1, "gpa": 3.111940298507463 }, { "term": "1132", "count": 131, "sections": 1, "gpa": 2.9580152671755724 }, { "term": "1142", "count": 86, "sections": 1, "gpa": 2.9011627906976742 }, { "term": "1152", "count": 54, "sections": 1, "gpa": 3.1944444444444446 }, { "term": "1172", "count": 49, "sections": 1, "gpa": 3.0306122448979593 } ] }, { "uid": "instructor_140bbd3329bec89d6137d5fd", "name": "ARTHUR MOBLEY", "count": 225, "terms": [ { "term": "1222", "count": 24, "sections": 1, "gpa": 3.9166666666666665 }, { "term": "1232", "count": 42, "sections": 1, "gpa": 3.7857142857142856 }, { "term": "1242", "count": 52, "sections": 1, "gpa": 3.8461538461538463 }, { "term": "1252", "count": 53, "sections": 1, "gpa": 3.943396226415094 }, { "term": "1262", "count": 54, "sections": 1, "gpa": 3.925925925925926 } ] }, { "uid": "instructor_b387fb763632f639d080bc59", "name": "MONICA OCHOA", "count": 54, "terms": [ { "term": "1262", "count": 54, "sections": 1, "gpa": 3.925925925925926 } ] }, { "uid": "instructor_d61a103d4417260127feb147", "name": "CARL CREAGER", "count": 53, "terms": [ { "term": "1252", "count": 53, "sections": 1, "gpa": 3.943396226415094 } ] }, { "uid": "instructor_f1d23a0101f0d8a3a7114825", "name": "JIM GINGRAS", "count": 52, "terms": [ { "term": "1242", "count": 52, "sections": 1, "gpa": 3.8461538461538463 } ] } ] ``` ## following None recorded. ## projection ### target 1272 ### interval #### lower 3.68 #### upper 4 #### coverage 80 #### terms 6 ### gpa 3.889047114797486 ### grades | grade | percentage | | ----- | ------------------ | | A | 89.02456713726336 | | AB | 5.180011990872552 | | B | 3.925259516607883 | | BC | 0.8298837567130251 | | C | 0.4129565105174861 | | D | 0 | | F | 0.627321088025695 | ### source Terms * 1262 * 1252 * 1242 * 1232 ### source Count 201 ### same Season true ### historical Range * 3.785714285714285 * 3.9433962264150946 ### backtest #### terms 6 #### gpa Error 0.10467197138739419 #### mix Error 12.477857743479415