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Record W1901750870 · doi:10.7202/1071462ar

LGBTQ Role Models and Curricular Controversy in Canada: A Student Symposium

2020· article· en· W1901750870 on OpenAlexafffundvenueabout
Nadine Boulay, Betty Yeung, Charmaine Leung, David P. Burns

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsKwantlen Polytechnic UniversitySimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaKwantlen Polytechnic University
KeywordsWritState (computer science)Power (physics)Diversity (politics)SociologySubject (documents)Position (finance)Field (mathematics)LawPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

As a subject for philosophizing about education, there are few topics as rich and significant as the role of public schools in fostering respect for sexual and religious diversity. The liberal state, it is said, has a clear mission to teach students to respect the rights of others to lead fundamentally different ways of life, and to provide students with the tools needed to make similarly fundamental choices about their own lives. The liberal state must do this, however, without undue or excessive infringement on the rights of children and parents who believe that some common ways of life are, writ large, morally objectionable. This symposium paper features three arguments, each formulated by a different student in education or a related field. The first argues that LGBTQ role models must be provided in schools (through school resources or in person). The second argues that teachers are being placed in a very difficult position when such provision causes controversy with the surrounding community. The third argues that parents must not be given unchecked power over their children’s exposure to LGBTQ role modeling.

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)0.008
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0740.013
Scholarly communication0.0130.003
Open science0.0040.008
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0110.001

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 head0.022
GPT teacher head0.303
Teacher spread0.280 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2020
Admission routes4
Has abstractyes

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