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Record W2515432005

Regard sur les plans d’action visant à contrer l’intimidation dans les écoles : perspectives d’intervenants scolaires

2016· article· fr· W2515432005 on OpenAlexaffabout
Ginette Roberge, Huguette Beaudoin

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHumanitiesPolitical scienceIntimidationArtLaw
DOInot available

Abstract

fetched live from OpenAlex

L’intimidation entre pairs en milieu scolaire fait l’objet de nombreux ecrits scientifiques depuis plusieurs decennies. Les consequences nuisibles, et parfois mortelles, de l’intimidation ont provoque l’implantation repandue de programmes qui visent la lutte contre ce phenomene. En 2012, le gouvernement provincial de l’Ontario a adopte la Loi 13 – Loi pour des ecoles tolerantes . Cette loi comporte de nombreux elements pour contrer l’intimidation tels que : ajout de travailleurs en sante mentale dans les ecoles, l’integration de principes d’equite et d’education inclusive dans les programmes-cadres, plan d’action representant les roles et responsabilites de chacun lorsque l’intimidation advient, ainsi que la creation d’un comite responsable de la securite des eleves dans chaque ecole ( Loi pour des ecoles tolerantes , 2012). Le but de cet article est de faire etat des resultats preliminaires d’une etude d’impact des plans d’action mis en place dans les ecoles en reponse a l’adoption de cette loi. Les points de vue individuels de 36 intervenants siegeant aux comites responsables de la securite des eleves des ecoles de langue francaise ont ete recueillis et analyses lors d’entrevues qualitatives semi-structurees. Les resultats demontrent que les administrateurs scolaires, par l’entremise de ces comites, adoptent en grande majorite les elements de la Loi 13 dans leur ecole.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.332
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.329
Teacher spread0.287 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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