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Police Labor and Exploitation: Case Study of North India

2021· book-chapter· en· W4200125654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.819
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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