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Record W4385869551 · doi:10.59962/9780774855143

Queer Youth in the Province of the “Severely Normal”

2007· book· en· W4385869551 on OpenAlexaboutno aff
Gloria Filax

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsQueerGeographyGender studiesSociology

Abstract

fetched live from OpenAlex

The government of Alberta in the 1990s actively contested the legal rights of sexual minority citizens. Provincial premier Ralph Klein defended this position by claiming that most Albertans, whom he characterized as "severely normal," were not in favour of recognizing homosexuality as a protected category in the provincial human rights code. Gloria Filax explores how youth identities have been constructed through dominant and often competing discourses about youth, sexuality, and gender, and how queer youth in the province of Alberta negotiated the contradictions of these discourses. She juxtaposes the voices of queer young people in Alberta with discourses that claim expert knowledge about young people's lives. She also explores what queer youth have to say about their lives in relation to renditions of homosexuality from the Alberta Report, a weekly magazine published in the 1990s that, despite its fiscal marginality, had significant impact on social values in Alberta. This book is important because it presents the voices of queer youth, particularly in the context of expert and popular discourses that often overwhelmingly deny the value of their lives. A significant contribution to queer social science scholarship, Queer Youth in the Province of the "Severely Normal" will also be of interest to sociologists, educators, social workers, and counsellors.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0180.009
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.019
GPT teacher head0.211
Teacher spread0.192 · 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
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

Citations22
Published2007
Admission routes1
Has abstractyes

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