MétaCan
Menu
Back to cohort
Record W4214605728 · doi:10.1080/10439463.2022.2041635

‘Real men’ doing dirty work: implications for change

2022· article· en· W4214605728 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicing & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsAthabasca University
Fundersnot available
KeywordsHarassmentMisconductOfficerWork (physics)Identity (music)CriminologyPerceptionPublic relationsQualitative researchPolitical scienceSocial psychologySociologyPsychologyLawEngineeringSocial science

Abstract

fetched live from OpenAlex

Police organisations in Canada and other parts of the world, have recently undertaken efforts to address misconduct arising from high-profile reports of internal discrimination and harassment and/or instances of excessive use of force. However, these actions tend to be pursued through traditional approaches without fully understanding the contextual factors that contribute to these harmful behaviours. Through a sequential, qualitative mixed-methods study involving Canadian police officers, this paper highlights how symbolic meanings attached to police work contribute to perceptions that the work is more suitable for some individuals than others. The findings also illustrate how officers respond to identity threats from stigmatised officers or from external sources. Finally, the findings suggest that the prototypical image of a police officer may be changing with recent criticisms of the police presented as possibilities for change.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.997

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 studies0.0050.000
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 head0.138
GPT teacher head0.425
Teacher spread0.288 · 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