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Record W7037004279

A Document Analysis on Bullying Policies and Procedures at the Hamilton Wentworth Catholic District School Board

2023· other· en· W7037004279 on OpenAlexaff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
FieldMedicine
TopicLeech Biology and Applications
Canadian institutionsBrock University
Fundersnot available
KeywordsWork (physics)Focus groupPolicy analysisIntervention (counseling)Workplace bullyingPublic policyContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

This study examined bullying within schools and school bullying policies with a focus on the Hamilton Wentworth Catholic District School Board (HWCDSB). Conducting a critical policy and document analysis of eight documents on the HWCDSB website, this study sought to answer the following research questions: How does HWCDSB board policy contribute to how bullying is understood and addressed in HWCDSB schools? How does HWCDSB’s bullying policy compare to the best practices identified in the literature? Working within the framework of Bronfenbrenner’s ecological systems theory, four themes emerged. The themes were analyzed to explore how bullying policy acts as an intervention within schools. This MRP adds to the body of work surrounding critical policy and document analysis, and school bullying policy. Recommendations for improving HWCDSB policies and recommendations for future research were presented. This research can inspire and promote an ecological approach to policy implementation and management of bullying behaviour.

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)0.016
metaresearch head score (Gemma)0.037
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.008
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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
Published2023
Admission routes1
Has abstractyes

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