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Record W4403781416 · doi:10.1111/jora.13032

Strategies to promote safety for sexual and gender minority youth in secondary schools: A longitudinal analysis

2024· article· en· W4403781416 on OpenAlexfundno aff
André Gonzales Real, S. Henry Sherwood, Salvatore Ioverno, Stephen T. Russell

Bibliographic record

VenueJournal of Research on Adolescence · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institutes of HealthNational Institute of Mental HealthYork UniversityUniversity of Texas at Austin
KeywordsPsychologySexual minorityDevelopmental psychologyLongitudinal studySexual orientationSocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

In order to promote school safety for sexual and gender minority youth (SGMY), many schools implement strategies such as SGM-focused policies and gender-sexuality alliances (GSAs). Little is known about the effects such strategies have over time on feelings of safety at school for SGMY. Hierarchical Linear Models were conducted using longitudinal data from 417 SGMY attending secondary schools to examine trajectories of feelings of safety and the effects of SGM-focused policies, GSA presence, or GSA membership on feelings of safety. Findings indicate that SGM-focused policies and GSAs had direct benefits for safety at school SGMY, both independently and in combination; however, GSA membership was not. Schools should implement a combination of school strategies to promote safer environments for SGMY.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.144
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.209
GPT teacher head0.512
Teacher spread0.303 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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