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Record W2053099764 · doi:10.1017/s0829320100009741

Screening Desire: Same-Sex-Marriage Documentaries, Citizenship, and the Law

2009· article· fr· W2053099764 on OpenAlexaboutno aff
B. J. Wray

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsTyingHumanitiesCitizenshipPolitical scienceEthnologySociologyLawPoliticsArt

Abstract

fetched live from OpenAlex

Résumé Cet article explore comment les arguments juridiques en faveur de la reconnaissance des mariages entre personnes de même sexe, aux Etats-Unis et au Canada, sont représentés dans deux documentaires récents:Tying the Knot: The Union That's Dividing America(États-Unis, 2004) etThe End of Second Class(Canada, 2006). Je m'intéresse notamment aux manières dont ces films présentent les contestations judiciaires à leurs auditoires. Comme les litiges, ces documentaires sont construits sur des stratégies représentationnelles qui ont pour but d'avoir un impact maximal sur leurs auditoires. Ainsi,Tying the KnotetThe End of SecondClass reproduisent les arguments juridiques et les stratégies de litige utilisés par les défenseurs des mariages entre personnes de même sexe. J'analyse, plus particulièrement, comment les deux films présentent ces procès à l'aide de trois thèmes récurrents: (1) les droits évoluent avec le temps; (2) les droits sont comparatifs; (3) les droits représentent des indicateurs d'une appartenance nationale. Je soutiens qu'en fonction de ces idées,Tying the KnotetThe End of Second Classréintroduisent inconsciemment certaines notions dominantes de ce que signifie avoir une appartenance nationale pleine et égale et, par conséquent, délimitent ce que veut dire être un « bon » citoyen sexuel.

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)0.004
metaresearch head score (Gemma)0.018
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.009
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.019
GPT teacher head0.255
Teacher spread0.237 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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