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Record W2742137996

Bringing LGBTQ Advocacy into the Classroom: Bridging the Gap Between Policy and Practice

2015· article· en· W2742137996 on OpenAlexaboutno aff
Meghan Condon

Bibliographic record

VenueTSpace · 2015
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBridging (networking)QueerPolitical scienceSociologyPublic relationsPedagogyGender studiesComputer scienceComputer security
DOInot available

Abstract

fetched live from OpenAlex

This study focuses on encouraging anti-homophobia education in schools, specifically in regards to fostering safer school environments and bringing LGBTQ advocacy and perspectives into the secondary school classroom. Particular attention was paid to current dialogue around traditional gender binaries and how concerned educators can combat these troubling stereotypes. The questions guiding this study were in what ways does working with a Gay-Straight Alliance inform the practices of four Ontario Secondary School teachers' regarding anti-homophobia education? And what efforts are being made to reach to male students regarding anti-homophobia education? Four participants were interviews for this qualitative study, all of who are dedicated and passionate teachers working in the Greater Toronto Area to combat homophobia. Data analysis as well as the relevant literature revealed that fostering safe school environments for LGBTQ youth is a complex process and the individual teacher can have a detrimental role (either positive or negative) in contributing to feelings of safety within a school. Findings also indicated that a serious disconnect exists between current anti-homophobia policies and the practices occurring in schools. This study strives to raise awareness about this divide and to educate teachers regarding the steps they can take to bridge this gap in their classrooms.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.112
GPT teacher head0.474
Teacher spread0.362 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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