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Record W4406412182 · doi:10.1080/10476210.2024.2442935

Educators’ interventions in gendered harassment: the importance of school culture

2025· article· en· W4406412182 on OpenAlexfundaboutno aff
Elizabeth J. Meyer, Christine Zabala‐Eisshofer, Allison Atteberry

Bibliographic record

VenueTeaching Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Colorado
KeywordsHarassmentPsychological interventionSex discriminationPedagogySociologyPsychologyGender studiesPolitical scienceSocial psychologyLaw

Abstract

fetched live from OpenAlex

Harassment against LGBTQ students is a widespread problem in schools around the globe. This paper presents the findings from a national study of Canadian educators that identified factors associated with confidence and frequency of intervention in peer-to-peer harassment in K-12 schools. Participants completed an online survey about the factors shaping their confidence and reported interventions in gendered harassment. Researchers identified that internal factors such as personal identities and life experiences accounted for more of the variation in educators’ levels of confidence than did external factors such as school culture, policies, and resources. However, school culture is an important factor to address as it accounted for more variation than policies and resources. These results can inform district and building-level priorities, school safety initiatives, and anti-bullying intervention programs aimed at reducing homophobia and transphobia in schools.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
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 science0.0010.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.413
Teacher spread0.366 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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