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Safe Schools Policy for LGBTQ Students and commentaries

2010· article· en· W2887329120 on OpenAlexaff
Stephen T. Russell, Stacey S. Horn, Joseph G. Kosciw, Elizabeth Saewyc

Bibliographic record

VenueChild Policy Nexus · 2010
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLesbianSexual orientationTransgenderQueerSexual minoritySexual identityPopulationVulnerability (computing)HomosexualityPsychologyIdentity (music)Political sciencePublic relationsCriminologySociologyHuman sexualitySocial psychologyGender studies

Abstract

fetched live from OpenAlex

Abstract Two proposed U.S. federal laws would provide explicit protection for lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ) students in public schools. These federal laws follow actions by many states and school districts to define and implement laws or policies to protect the safety of LGBTQ students in schools. Research during the past decade has shown that LGBTQ youth are a vulnerable population, and that the negative school experiences of LGBTQ students often contribute to their vulnerability. This Social Policy Report reviews research relevant to these federal, state, and local laws and policies. Research on sexual orientation/identity development is reviewed, with attention to the growing numbers of youth that “come out” or disclose their LGBTQ identities to others during their school-age years. Schools are often hostile environments for LGBTQ students; this evidence is considered along with research on the consequences for compromised achievement and emotional and behavioral health. We then review strategies in education policy and practice that are associated with well-being for LGBTQ (and all) students.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.427
Teacher spread0.399 · 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.

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

Citations136
Published2010
Admission routes1
Has abstractyes

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