# CHICLA/SOC 470: Sociodemographic Analysis of Mexican Migration | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/CHICLA_SOC_470)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T23:19:01.870283+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### 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

c5b444a9c45e5c9882b8f2aa3dd56d2822d17f5389518786ad6845bd6c4c2585

### course id

CHICLA/SOC 470

### course uid

course\_f920020b85b6432bebc4d7e1

### catalog version id

09e3f95d29881634177e4861f898c3b158b07241c1cc830f2b04e339b04be10e

### course number

470

### subjects

* CHICLA
* SOC

### title

SOCIODEMOGRAPHIC ANALYSIS OF MEXICAN MIGRATION

### description

Introduces students to social and demographic analysis and explanations of the historical and present day causes and consequences of migration of the largest immigrant group to the United States in the 20th century.

### requirements text

SOC 134,170,181,SOC/​ASIAN AM  220,SOC/​C\&E SOC  140,210,211,CHICLA 201,CHICLA 210, orPOLI SCI/​CHICLA  231; or graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

9558d79f5ebff7a4866f6442e1d4390b3a2620a01ba6eee71d825c4f82f23527

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Examines the sociodemographic analysis and historical causes/consequences of Mexican migration to the US

### llm topics

* Mexican migration to the United States
* Social and demographic analysis of migration

### llm skills

* Social and demographic analysis
* Analysis of migration causes and consequences

### llm assumed background

* Foundational knowledge in sociology, race/ethnicity, and population dynamics
* Understanding of US minority group challenges and ethnic movements

### llm search phrases

* Mexican migration sociology
* demographic analysis Mexican Americans
* CHICLA SOC 470 migration
* sociodemographic analysis US immigration

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

84175d406380189aee536e99ef8214e06d7e8485ff85baee2977ff255ba03693

#### course id

CHICLA/SOC 470

#### 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 2007: 3.79 GPA, 92.9% A/AB (n=14 letter grades); Fall 2016: 3.69 GPA, 88.9% A/AB (n=27 letter grades); Spring 2020: 3.79 GPA, 88.2% A/AB (n=17 letter grades).

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```

#### student experience

None recorded.

#### task hash

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#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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```

### grades

```json
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    "source_aliases": [
      "CHICLA/SOC 470"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CHICLA/SOC 470",
    "course_uid": "course_f920020b85b6432bebc4d7e1",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "Jenna Nobles"
    ],
    "a": 15,
    "ab": 0,
    "b": 0,
    "bc": 1,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 18,
    "source_aliases": [
      "CHICLA/SOC 470"
    ]
  }
]
```

### statistics

#### gpa

3.663

#### graded

89

#### counts

* 57
* 18
* 5
* 4
* 5
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f920020b85b6432bebc4d7e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f920020b85b6432bebc4d7e1-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f920020b85b6432bebc4d7e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f920020b85b6432bebc4d7e1-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f920020b85b6432bebc4d7e1-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f920020b85b6432bebc4d7e1-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.662921348314607

#### count

89

#### university

##### size

2536

##### gpa Percentile

54

##### count Percentile

53

##### median Count

83

##### 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 | 18    | false   |
| 2.8–3.2 | 329   | false   |
| 3.2–3.6 | 865   | false   |
| 3.6–4.0 | 1323  | true    |

#### departments

```json
[
  {
    "subject": "CHICLA",
    "comparison": {
      "size": 10,
      "gpaPercentile": 44,
      "countPercentile": 44,
      "medianCount": 90.5,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "SOC",
    "comparison": {
      "size": 59,
      "gpaPercentile": 71,
      "countPercentile": 45,
      "medianCount": 102,
      "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": 29,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 21,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1072

##### term

1072

##### gpa

3.75

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| CHICLA  |            |
| SOC     |            |

#### 1074

##### term

1074

##### gpa

3.090909090909091

##### count

11

##### departments

| subject | comparison |
| ------- | ---------- |
| CHICLA  |            |
| SOC     |            |

#### 1082

##### term

1082

##### gpa

3.7857142857142856

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| CHICLA  |            |
| SOC     |            |

#### 1172

##### term

1172

##### gpa

3.685185185185185

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| CHICLA  |            |
| SOC     |            |

#### 1204

##### term

1204

##### gpa

3.7941176470588234

##### count

17

##### departments

| subject | comparison |
| ------- | ---------- |
| CHICLA  |            |
| SOC     |            |

### benchmarks

#### all

##### school

###### size

2536

###### gpa

3.5813466441561466

###### top Share

76.84109716259192

###### count

83

##### CHICLA

###### size

10

###### gpa

3.5946021556340666

###### top Share

80.52866520060705

###### count

90.5

##### SOC

###### size

59

###### gpa

3.4815679409012876

###### top Share

73.10182437771896

###### count

102

#### terms

##### 1072

###### school

###### size

723

###### gpa

3.344595727439471

###### top Share

62.012941427864526

###### count

67

###### SOC

###### size

27

###### gpa

3.414453094714139

###### top Share

67.70912021560112

###### count

88

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

###### SOC

###### size

19

###### gpa

3.3050173793000126

###### top Share

61.598933023095

###### count

132

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

###### SOC

###### size

27

###### gpa

3.380632077797503

###### top Share

65.88836755405634

###### count

103

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### SOC

###### size

22

###### gpa

3.391631675626158

###### top Share

68.26492988662011

###### count

105.5

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### SOC

###### size

20

###### gpa

3.7181817856885595

###### top Share

87.77772110590652

###### count

84

## instructor Trends

```json
[
  {
    "uid": "instructor_6264c666994f0371c665921c",
    "name": "ALFONSO MORALES",
    "count": 45,
    "terms": [
      {
        "term": "1072",
        "count": 20,
        "sections": 1,
        "gpa": 3.75
      },
      {
        "term": "1074",
        "count": 11,
        "sections": 1,
        "gpa": 3.090909090909091
      },
      {
        "term": "1082",
        "count": 14,
        "sections": 1,
        "gpa": 3.7857142857142856
      }
    ]
  },
  {
    "uid": "instructor_c01bc4707ea699b82348cbb2",
    "name": "JENNA NOBLES",
    "count": 44,
    "terms": [
      {
        "term": "1172",
        "count": 27,
        "sections": 1,
        "gpa": 3.685185185185185
      },
      {
        "term": "1204",
        "count": 17,
        "sections": 1,
        "gpa": 3.7941176470588234
      }
    ]
  }
]
```

## following

None recorded.
