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Record W3045937185 · doi:10.7202/1070512ar

Dénouer les perceptions des citoyens de la police : le lien entre la confiance et la satisfaction

2020· article· fr· W3045937185 on OpenAlexaffvenue
Jean‐Denis David

Bibliographic record

VenueCriminologie · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

L’article propose une clarification conceptuelle des notions de confiance et de satisfaction envers la police à travers des données empiriques. Cet article émerge dans un contexte où ces deux types de perceptions sont utilisés de manière interchangeable bien qu’ils aient des implications différentes pour les relations police-communauté. On observe dans la littérature scientifique que la satisfaction fait référence à une évaluation postérieure des attentes alors que la confiance fait référence à une évaluation du risque relativement à des actions, des comportements ou des états d’être futurs. Les résultats corroborent effectivement une distinction, mais soulignent néanmoins une association entre ces deux types de perceptions. En somme, la satisfaction envers le travail des policiers peut motiver la confiance des citoyens dans la police. Dénouer la relation entre ces deux perceptions est nécessaire pour que les études dans ce champ de recherche soient outillées de manière à présenter un portrait juste des relations police-communauté.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.334
GPT teacher head0.455
Teacher spread0.121 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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