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Record W3104646471 · doi:10.22215/cjcr.v7i1.2569

Anti-Violence Efforts in Canadian Schools:

2020· article· en· W3104646471 on OpenAlexaffvenueabout
Tara M. Collins, Mona Paré

Bibliographic record

VenueCanadian Journal of Children s Rights / Revue canadienne des droits des enfants · 2020
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of OttawaToronto Metropolitan University
Fundersnot available
KeywordsCivil societyPolitical sciencePublic relationsCivil rightsPublic administrationCriminologySociologyLawPolitics

Abstract

fetched live from OpenAlex

Violence is a significant issue in Canadian schools that includes a wide spectrum of actions among students commonly understood as “bullying”. Civil society is responding to this challenge in various ways. This paper identifies types of actors in civil society that are active in Canadian anti-violence efforts. The paper also outlines however that many efforts reflect simplistic responses, funding issues, the need for greater prevention, improved coordination, long-term plans, as well as a gap of children’s rights. The paper concludes that there is a role for respecting children’s rights in these education efforts and that greater, coordinated participation is needed across civil society and beyond for progress with anti-violence efforts. With information about how various systems and institutions respond to violence, it is hoped that practitioners, researchers and policy makers concerned about violence in schools may further contribute to advocacy efforts for young people.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.138
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.008
Science and technology studies0.0200.004
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.012
GPT teacher head0.238
Teacher spread0.225 · 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
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Children s Rights / Revue canadienne des droits des enfantsSame topicBullying, Victimization, and AggressionFrench-language works237,207