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Record W6987047846

Sexualized Depictions of Native Women: Raising Awareness and Preventing Victimization

2014· other· en· W6987047846 on OpenAlexfundno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of California, IrvineArizona State UniversitySimon Fraser UniversityUniversity of AlbertaUniversity of California, Los AngelesUniversity of the Fraser ValleyNorthern Michigan UniversityYork UniversityUniversity of PennsylvaniaGeorge Washington UniversityUniversity of Southern CaliforniaCongressional Black Caucus Foundation
KeywordsRaising (metalworking)Criminal justicePoliticsEconomic JusticeCrime controlSocial controlControl (management)
DOInot available

Abstract

fetched live from OpenAlex

The official journal of the Western Society of Criminology is now the Journal of Criminology, Criminal Law & Society (CCJCLS).This peer-reviewed journal builds on the mission of its predecessor, Western Criminology Review (WCR), by promoting understanding of the causes of crime; the methods used to prevent and control crime; the institutions, principles, and actors involved in the apprehension, prosecution, punishment, and reintegration of offenders; and the legal and political framework under which the justice system and its primary actors operate.CCJSLS publishes  theoretical and empirical research on criminology, criminal justice, and criminal law and society;  practice-oriented papers (including teaching/pedagogical issues);

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)0.003
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 score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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