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Record W4391305186 · doi:10.15173/a.v3i1.3401

Canon, Catechism, and Curriculum: GSAs and Student Mental Health in Ontario Catholic Schools

2023· article· en· W4391305186 on OpenAlexaffabout
Alyssa Pei-Middleton

Bibliographic record

VenueAletheia · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCatechismCanonCurriculumPedagogyMental healthSociologyMathematics educationPsychologyTheologyPhilosophyArtPsychiatryLiterature

Abstract

fetched live from OpenAlex

The permissibility of student GSA (Gender Sexuality Alliance) clubs in Ontario has been heavily disputed, with Catholic schools showing particular resistance. With a history of opposing same-sex rights, Canada’s Catholic Church holds great social, economic, and political power. This institution-level power generates extensive structural stigma that harms the LGBTQ community, including adolescents. Stigmatization provokes emotional, cognitive, behavioural, and physiological responses that compound each other, altering one’s health. Through the use of accepted socio-epidemiological guidelines for establishing causal inference along with data from a Canadian report on homophobia and transphobia in both Catholic and public schools, it is evident that structural stigma, expressed through prejudice against GSAs in Ontario Catholic schools, is harmful to the health of LGBTQ students. LGBTQ students, who are structurally stigmatized in Ontario Catholic schools, experience inferior emotional health compared to their nonstigmatized cisgender and heterosexual peers. Literature reviewed demonstrates confidence in a causal relationship; due to the structural stigma that Catholic schools in Ontario perpetuate against the LGBTQ community, LGBTQ students attending these schools experience greater risks to their mental health. It is imperative that LGBTQ youth are protected in schools, and solutions must be considered to balance Catholic religious rights in education with the health and social needs of 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)0.001
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 score0.032
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.378
Teacher spread0.350 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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