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Record W2998166694 · doi:10.29173/cjs29473

We’ll Deal with it Later: African Nova Scotian Women’s Perceptions and Experiences of the Police

2019· article· en· W2998166694 on OpenAlexaffvenueabout
Jessica Bundy

Bibliographic record

VenueThe Canadian Journal of Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNova scotiaScholarshipNova (rocket)Rural communitySociologyGender studiesCommunity policingPerceptionQualitative researchResistance (ecology)Police departmentCriminologyPolitical sciencePsychologySocial scienceEthnologySocioeconomicsLawEngineering

Abstract

fetched live from OpenAlex

This case study explores the experiences of African Nova Scotian women in relation to the police. Three semi-structured interviews were conducted with Black women living in a rural Nova Scotian community with a well-documented history of confrontations between the police and the Black community. Interviews explored their experiences with the police, their community’s experiences with the police, and their relationship with the police. My analysis revealed that participants did not trust the police, felt targeted by the police, and did not feel protected by the police. Their perceptions of the police were shaped by their own interactions with the police – often as Black mothers – and the experiences of the Black men in their lives in rural Nova Scotia. Some had engaged in active resistance and protection of their community. This article explores how anti-Blackness affects Black women directly and indirectly, contributing to the existing scholarship about over-policing of Black communities.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.319
Teacher spread0.282 · 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 teacher head, not a consensus.

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

Citations35
Published2019
Admission routes3
Has abstractyes

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