# LEGALST 325: Wrongful Convictions | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/LEGALST_325)

## 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

93af186502ec7f83c8ed694782b9f4a66a86124ff5afc917cde37682ce42f63c

### course id

LEGALST 325

### course uid

course\_60f5b175a507709b63b4c347

### catalog version id

c24280c68a81bebce3d234a3571895540c1d38e93d4d30efa11f1ca0732ae305

### course number

325

### subjects

* LEGALST

### title

WRONGFUL CONVICTIONS

### description

Study of evidentiary causes of wrongful convictions, including eyewitness misidentifications, false confessions, the use of jailhouse informants, and flaws in forensic science. Procedural and institutional causes of wrongful convictions, and within this context, question whether constitutional rights adequately protect against illegitimate outcomes. Explore potential ways to broaden conceptions of wrongful convictions, looking at mass surveillance, mass prosecution, mass conviction, sentencing severity, and the system's racially disproportionate impact at all intercept points.

### requirements text

LEGAL ST/​SOC  131or217

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

1539bd90891a7e59363cc0c73c3e7a160cd3bdfb4da3f49f46b46594c5300170

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

LEGALST 325 examines evidentiary and procedural causes of wrongful convictions and their systemic impacts.

### llm topics

* Evidentiary causes of wrongful convictions.
* Procedural and institutional causes.
* Systemic issues including mass surveillance and racial disparity.

### llm skills

* Critical analysis of constitutional protections in criminal justice.
* Broadening conceptions of wrongful convictions beyond individual cases.

### llm assumed background

* Foundational knowledge of the criminal justice system and legal processes.

### llm search phrases

* wrongful conviction causes
* forensic science flaws
* eyewitness misidentification
* false confessions
* constitutional rights criminal justice

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

51e39a30be81e2c2e437b9fb66709fbc470926e31da0846945092ed6c4ac392e

#### course id

LEGALST 325

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Fall 2021: 3.29 GPA, 52.4% A/AB (n=105 letter grades).

```json
{
  "citations": [
    {
      "course_id": "LEGALST 325",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "17cb3c0d-ebd5-313a-bf97-aacf70382577",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1222",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [
      "n0",
      "n1"
    ],
    "condition": null,
    "course": null,
    "evidence": "LEGAL ST/SOC 131or217",
    "id": "n2",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 131,
      "minimum_grade": null,
      "subjects": [
        "LEGALST",
        "SOC"
      ],
      "timing": "prior"
    },
    "evidence": "LEGAL ST/SOC 131",
    "id": "n0",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 217,
      "minimum_grade": null,
      "subjects": [
        "LEGALST",
        "POLISCI"
      ],
      "timing": "prior"
    },
    "evidence": "217",
    "id": "n1",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n2

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_61c7d3ec2a98118b128cf739",
    "source": "madgrades",
    "source_instructor_id": "4743515",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ION MEYN",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 28,
      "quality": 4.29,
      "difficulty": 3.14,
      "quality_count": 28,
      "difficulty_count": 28,
      "profile_id": "rmp:1970246",
      "source_url": "https://www.ratemyprofessors.com/professor/1970246",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:35:47.067072+00:00",
      "courses": {},
      "bayesian_quality": 4.027369076477748,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.338,
      "graded": 1838,
      "counts": [
        456,
        564,
        649,
        121,
        43,
        1,
        4
      ],
      "sections": 47
    },
    "instructor_url": "/instructors/ION_MEYN--instructor_61c7d3ec2a98118b128cf739"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "LEGALST 325",
    "course_uid": "course_60f5b175a507709b63b4c347",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Ion Meyn"
    ],
    "a": 21,
    "ab": 34,
    "b": 39,
    "bc": 7,
    "c": 4,
    "d": 0,
    "f": 0,
    "satisfactory": 2,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 109,
    "source_aliases": [
      "LEGALST 325"
    ]
  }
]
```

### statistics

#### gpa

3.29

#### graded

105

#### counts

* 21
* 34
* 39
* 7
* 4
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_60f5b175a507709b63b4c347-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_60f5b175a507709b63b4c347-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_60f5b175a507709b63b4c347-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_60f5b175a507709b63b4c347-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_60f5b175a507709b63b4c347-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_60f5b175a507709b63b4c347-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.2904761904761903

#### count

105

#### university

##### size

1157

##### gpa Percentile

22

##### count Percentile

70

##### median Count

64

##### 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 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | true    |
| 3.6–4.0 | 614   | false   |

#### departments

```json
[
  {
    "subject": "LEGALST",
    "comparison": {
      "size": 11,
      "gpaPercentile": 40,
      "countPercentile": 90,
      "medianCount": 73,
      "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": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1222

##### term

1222

##### gpa

3.2904761904761903

##### count

105

##### university

###### size

1157

###### gpa Percentile

22

###### count Percentile

70

###### median Count

64

###### 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 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | true    |
| 3.6–4.0 | 614   | false   |

##### departments

```json
[
  {
    "subject": "LEGALST",
    "comparison": {
      "size": 11,
      "gpaPercentile": 40,
      "countPercentile": 90,
      "medianCount": 73,
      "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": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

##### LEGALST

###### size

11

###### gpa

3.405011333236349

###### top Share

68.25517046489381

###### count

73

#### terms

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### LEGALST

###### size

11

###### gpa

3.405011333236349

###### top Share

68.25517046489381

###### count

73

## instructor Trends

```json
[
  {
    "uid": "instructor_61c7d3ec2a98118b128cf739",
    "name": "ION MEYN",
    "count": 105,
    "terms": [
      {
        "term": "1222",
        "count": 105,
        "sections": 1,
        "gpa": 3.2904761904761903
      }
    ]
  }
]
```

## following

None recorded.
