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Record W4387706897 · doi:10.3390/sexes4040034

Enhancing Comprehensive Sexuality Education for Students with Disabilities: Insights from Ontario’s Educational Framework

2023· article· en· W4387706897 on OpenAlexaffabout
Adam Davies, Justin Brass, Victoria Martins Mendonca, Samantha O’Leary, Malissa Bryan, Ruth Neustifter

Bibliographic record

VenueSexes · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsYorkville UniversityUniversity of Guelph
Fundersnot available
KeywordsHuman sexualityCurriculumContext (archaeology)Sexuality educationPsychologyPedagogyInclusion (mineral)Medical educationSpecial educationSex educationSociologyMedicineSocial psychologyGender studies

Abstract

fetched live from OpenAlex

Comprehensive sexuality education (CSE) is an important framework utilized worldwide to provide students and young people with accurate, affirming, and socially conscious sexuality education. However, there is still a lack of CSE curricula in school contexts that is relevant for students with various disabilities. This article takes the Ontario, Canada, context as an example of where and how CSE can improve to be more inclusive for students with disabilities. This article reviews the current context of CSE in Ontario, Canada, including its controversies, while providing recommendations for meeting the needs of students with various disabilities, including psychological, intellectual, and physical disabilities. This article aims to provide practical recommendations, such as pertinent curricular content and pedagogical recommendations for scholars, researchers, and policymakers for improving CSE for students with disabilities in schooling.

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)0.000
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 score0.084
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.052
GPT teacher head0.433
Teacher spread0.380 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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