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Record W2971935446 · doi:10.31542/j.cb.1842

How Does Hegemonic Society Perpetuate LGBTQ+ Discrimination Through the Institutions and Ideologies of Law, Education, and Religion?

2019· article· en· W2971935446 on OpenAlexaffvenue
Isha Leibel

Bibliographic record

VenueCrossing Borders Student Reflections on Global Social Issues · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMacEwan University
Fundersnot available
KeywordsIdeologyHegemonySociologyGender studiesInstitutionHuman sexualityFormative assessmentPoliticsPolitical scienceLawSocial sciencePedagogy

Abstract

fetched live from OpenAlex

Research has shown that the institutions and ideologies behind hegemonic society’s laws, educational system, and religions, have been integral to the discrimination of LGBTQ+ youth. To better understand the specific aspects of each institution, and how they directly affect LGBTQ+ youth, this paper critically examines these institutions using both the traditional heteronormative lens, as well as the more recent LGBTQ+ friendly lens. Issues such as the role of homophobic political leaders, and the laws they pass, are considered. As the majority of youth spend their formative years in an educational setting, the role of teachers, peers, and parents are all considered when discussions of ‘coming out’ or sexual education is brought to light. Furthermore, in an attempt to understand the coexistence of LGBTQ+ youth and religious education, comparisons between different school settings are taken into consideration. Following the review, different avenues are suggested to further study this topic in order to create a more inclusive, safe, and accepting society for all sexualities and gender identities.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.032
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.496
Teacher spread0.442 · 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 designTheoretical or conceptual
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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCrossing Borders Student Reflections on Global Social IssuesSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207