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Record W4405531793 · doi:10.4000/12yet

Réflexions critiques sur l’émotivité dans l’encadrement des étudiantes en stage en criminologie

2024· article· fr· W4405531793 on OpenAlexaboutno aff
Drew Pitchforth, Marie-Lyne Vachon

Bibliographic record

VenueChamp pénal · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicInnovative Teaching Methodologies in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article explore les expériences des responsables des programmes de stage en criminologie à l’Université d’Ottawa eu égard aux émotions des étudiantes admises en stage. En utilisant la pratique réflexive critique (PRC) pour examiner nos expériences des complexités émotionnelles de l’apprentissage expérientiel, nous proposons de procéder à une démarche dialogique et collaborative pour mettre en exergue les défis et dissonances de l’enseignement de la PRC en criminologie.

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)0.026
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.061
Scholarly communication0.0120.008
Open science0.0020.011
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.316
GPT teacher head0.464
Teacher spread0.148 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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