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Record W3002774295 · doi:10.1080/14681811.2020.1712549

Cripping the controversies: Ontario rights-based debates in sexuality education

2020· article· en· W3002774295 on OpenAlexaffabout
Adam Davies, Noah Kenneally

Bibliographic record

VenueSex Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of TorontoUniversity of Guelph
Fundersnot available
KeywordsHuman sexualityIdeologySociologyHumanismGender studiesContext (archaeology)Human rightsPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Comprehensive sexuality education is increasingly being employed on a global scale, with controversies arising regarding the content of such education and the rights of children to access sexuality education versus parents’ rights to decide the moral education of their children. In this paper, we utilise crip theory and a critical disability studies lens to analyse controversies surrounding parents’ rights versus children’s rights in the context of comprehensive sexuality education in Ontario, Canada. Using a disability studies perspective, this paper discusses the erasure of disabled children and youth in debates over children’s and parents’ rights while problematising the liberal humanist and legal frameworks often employed in comprehensive sexuality education and children’s rights. As such, we theorise how a more relationally attuned version of both children’s rights and comprehensive sexuality education can avoid oppositional politics and the reification of liberal humanist and ableist ideologies.

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)0.007
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: none
Teacher disagreement score0.191
Threshold uncertainty score0.939

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0320.052
Scholarly communication0.0110.004
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.034
GPT teacher head0.351
Teacher spread0.317 · 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

Citations36
Published2020
Admission routes2
Has abstractyes

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