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States: Police Powers

2018· other· en· W3081653557 on OpenAlexaff
Beatrice Jauregui

Bibliographic record

VenueThe International Encyclopedia of Anthropology · 2018
Typeother
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrinciple of legalityLegitimacyEthnographySociologyPolitical anthropologyPower (physics)State (computer science)PoliticsLawPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Anthropological inquiry in much of the twentieth century, especially during the period of European colonialism, often worked directly or indirectly in service to “the state” in general and “the police” in particular. Following a critical turn in social theory and cultural studies toward “speaking truth to power” beginning in the 1970s, the anthropological gaze turned toward states and police powers as objects of analysis. The resultant work in what, since the early twenty‐first century, may be understood as a veritable subfield of political–legal anthropology called the “anthropology of police” served to develop new conceptual frameworks and critical theories of authority, legality, legitimacy, violence, and social difference and also raised challenging questions about ethnographic methods and ethics. The anthropology of police continues to evolve and address a host of urgent theoretical and empirical questions in these areas.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.012
Scholarly communication0.0070.007
Open science0.0000.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0220.001

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 head0.018
GPT teacher head0.310
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2018
Admission routes1
Has abstractyes

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