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Record W2085321924 · doi:10.7202/1013729ar

Intimidation en milieu carcéral : effet sur les pratiques professionnelles des agents correctionnels du Québec

2013· article· fr· W2085321924 on OpenAlexaffvenueabout
Grégory Gomez del Prado

Bibliographic record

VenueCriminologie · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesVictimisationIntimidationPrisonPolitical sciencePoison controlArtSuicide preventionMedicine

Abstract

fetched live from OpenAlex

Les études portant sur la victimisation des surveillants de prison ont souligné la relative rareté des agressions sévères commises par les détenus. L’univers carcéral est plutôt ponctué de violences physiques mineures et d’attaques psychologiques contre les gardiens. Si plusieurs recherches ont mis en évidence les facteurs d’influence des pratiques professionnelles des gardiens de prison, peu d’études se sont penchées sur l’impact de la violence sur leur travail. Un questionnaire structuré a été soumis à 132 agents correctionnels travaillant dans des établissements de juridiction provinciale dans la région de Montréal afin d’établir les niveaux et les formes d’intimidation vécue par ces agents et afin d’évaluer les effets de cette victimisation sur leur travail. D’une part, nos analyses confirment les tendances générales de victimisation des gardiens de prison. D’autre part, cette victimisation semble modifier certaines pratiques professionnelles. D’autres études sont toutefois nécessaires afin de valider le concept de pratiques professionnelles en milieu carcéral.

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.176
GPT teacher head0.360
Teacher spread0.184 · 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 designObservational
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

Citations0
Published2013
Admission routes3
Has abstractyes

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