# POLISCI 367: Humans, Animals & Machines | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/POLISCI_367)

## 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

33ebc0f463cf601246f755d3cc739d8a1b2316320efe611ab06cdebbc4f9daf0

### course id

POLISCI 367

### course uid

course\_f8ee06982dc170ac32b403c3

### catalog version id

8ce98e1f3627a1866342f4cb73a64f37e47dea1a5b0715d7e4b2c0bf52d942c3

### course number

367

### subjects

* POLISCI

### title

HUMANS, ANIMALS & MACHINES

### description

Animals and machines play a large and increasing role in human affairs. Many political systems and cultures have traditionally placed human beings and human rights at the center of politics. Advocates of animals and artificial intelligence challenge this. As a result, political theory in the twenty-first century must address the role of non-humans in politics and examine the relative priority of human beings. What rights, if any, should non-humans have and on what basis? Can even we say what it means to be distinctively human? Is there something about our language, intelligence, consciousness, dignity or emotions that clearly distinguishes us from animals or machines? Can that distinctiveness support consequential moral or political conclusions? Is there a clear basis for human or non-human equality upon which we can ground rights or democratic institutions? Or must all of these yield to a post-humanist politics of some kind?

### requirements text

Sophomore standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

8e464035c8d2764767f80f38a4f056f335100a41ece4dd98a4a6c659db2e7641

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Examines the role of non-humans in politics and challenges traditional human-centered political theory.

### llm topics

* Rights of non-humans
* Post-humanist politics
* Human distinctiveness

### llm skills

None recorded.

### llm assumed background

None recorded.

### llm search phrases

* political theory non-human rights
* post-humanist politics
* animal and machine ethics
* human distinctiveness politics

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

f4218a94ea83e4d09549e3b84a7af9b1fe296b0b0c0d849c40652b5630672f33

#### course id

POLISCI 367

#### 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 — Spring 2011: 3.67 GPA, 88.2% A/AB (n=68 letter grades); Fall 2011: 3.61 GPA, 83.3% A/AB (n=18 letter grades); Fall 2013: 3.60 GPA, 70.0% A/AB (n=20 letter grades).

```json
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      },
      "table": "grades_latest",
      "term_id": "1142",
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  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Sophomore standing",
    "course": null,
    "evidence": "Sophomore standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_93c364f7a496382c44aab98f",
    "source": "madgrades",
    "source_instructor_id": "4616869",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "KATJA FAVRETTO",
    "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": 5,
      "quality": 4.8,
      "difficulty": 1.6,
      "quality_count": 5,
      "difficulty_count": 5,
      "profile_id": "rmp:1452658",
      "source_url": "https://www.ratemyprofessors.com/professor/1452658",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:26:44.901638+00:00",
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          "quality": 4,
          "difficulty": 1,
          "quality_count": 1,
          "difficulty_count": 1
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      "bayesian_quality": 3.8877486268372765,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.581,
      "graded": 351,
      "counts": [
        171,
        114,
        44,
        12,
        5,
        2,
        3
      ],
      "sections": 16
    },
    "instructor_url": "/instructors/KATJA_FAVRETTO"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 367",
    "course_uid": "course_f8ee06982dc170ac32b403c3",
    "term_id": "1114",
    "term_name": "Spring 2011",
    "instructors": [
      "KATJA FAVRETTO"
    ],
    "a": 34,
    "ab": 26,
    "b": 5,
    "bc": 3,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 69,
    "source_aliases": [
      "POLISCI 367"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 367",
    "course_uid": "course_f8ee06982dc170ac32b403c3",
    "term_id": "1122",
    "term_name": "Fall 2011",
    "instructors": [
      "KATJA FAVRETTO"
    ],
    "a": 7,
    "ab": 8,
    "b": 3,
    "bc": 0,
    "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": 18,
    "source_aliases": [
      "POLISCI 367"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 367",
    "course_uid": "course_f8ee06982dc170ac32b403c3",
    "term_id": "1142",
    "term_name": "Fall 2013",
    "instructors": [
      "KATJA FAVRETTO"
    ],
    "a": 11,
    "ab": 3,
    "b": 5,
    "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": 20,
    "source_aliases": [
      "POLISCI 367"
    ]
  }
]
```

### statistics

#### gpa

3.646

#### graded

106

#### counts

* 52
* 37
* 13
* 4
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f8ee06982dc170ac32b403c3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f8ee06982dc170ac32b403c3-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f8ee06982dc170ac32b403c3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f8ee06982dc170ac32b403c3-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f8ee06982dc170ac32b403c3-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f8ee06982dc170ac32b403c3-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.6462264150943398

#### count

106

#### university

##### size

1706

##### gpa Percentile

64

##### count Percentile

61

##### median Count

78

##### 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 | 368   | false   |
| 3.2–3.6 | 615   | false   |
| 3.6–4.0 | 673   | true    |

#### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 25,
      "gpaPercentile": 88,
      "countPercentile": 42,
      "medianCount": 123,
      "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": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1114

##### term

1114

##### gpa

3.6691176470588234

##### count

68

##### university

###### size

804

###### gpa Percentile

76

###### count Percentile

50

###### median Count

68

###### 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 | 53    | false   |
| 2.8–3.2 | 231   | false   |
| 3.2–3.6 | 292   | false   |
| 3.6–4.0 | 227   | true    |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 12,
      "gpaPercentile": 100,
      "countPercentile": 27,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": true
        }
      ]
    }
  }
]
```

#### 1122

##### term

1122

##### gpa

3.611111111111111

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |

#### 1142

##### term

1142

##### gpa

3.6

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |

### benchmarks

#### all

##### school

###### size

1706

###### gpa

3.4683794062324904

###### top Share

69.84313639341843

###### count

78

##### POLISCI

###### size

25

###### gpa

3.290628946943308

###### top Share

60.81275143287449

###### count

123

#### terms

##### 1114

###### school

###### size

804

###### gpa

3.3696004653806844

###### top Share

64.0389334741844

###### count

68

###### POLISCI

###### size

12

###### gpa

3.2185088366768486

###### top Share

56.22209935190565

###### count

95

##### 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

##### 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

## instructor Trends

```json
[
  {
    "uid": "instructor_93c364f7a496382c44aab98f",
    "name": "KATJA FAVRETTO",
    "count": 106,
    "terms": [
      {
        "term": "1114",
        "count": 68,
        "sections": 1,
        "gpa": 3.6691176470588234
      },
      {
        "term": "1122",
        "count": 18,
        "sections": 1,
        "gpa": 3.611111111111111
      },
      {
        "term": "1142",
        "count": 20,
        "sections": 1,
        "gpa": 3.6
      }
    ]
  }
]
```

## following

None recorded.
