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Police Labor and Exploitation: Case Study of North India

2021· book-chapter· en· W4200125654 on OpenAlexaff
Beatrice Jauregui

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCasteComplicityEthnographyCriminologyInequalityPower (physics)SociologyPolitical scienceSocioeconomic statusGender studiesLawPopulationAnthropology

Abstract

fetched live from OpenAlex

Abstract This chapter analyzes data collected over more than two years of ethnographic fieldwork with police in north India. It argues that subordinate police personnel in this decolonizing world region often experience exploitation as laborers, even as they routinely deploy excessive force and sometimes misuse their authority to intervene in everyday life. The analysis reveals an imbrication of official police rank hierarchies with broader forms of social inequality (especially socioeconomic class, religion, and caste) through observations of interactions among police personnel of various ranks and interviews with current and former officers in Uttar Pradesh, India’s most populous state. It also develops methodological concepts of “strategic complicity” and “critical empathy,” and suggests directions for future ethnographic research on policing that may help us discern the complexities of both local and global social justice movements and power relations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0150.005
Scholarly communication0.0030.001
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.252
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2021
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicSouth Asian Studies and ConflictsFrench-language works237,207