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Record W7161213017

Les représentations sociales et les attitudes à propos de la diversité sexuelle et de la pluralité de genre chez les jeunes Québécois et Québécoises

2025· other· fr· W7161213017 on OpenAlexaboutno aff
Amélie Saffroy

Bibliographic record

VenueEspaceINRS (National Institute for Scientific Research (Canada)) · 2025
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityGender identityNarrativeThe ImaginaryContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire présente une recherche portant sur les représentations sociales et les attitudes envers la diversité sexuelle et la pluralité de genre (DSPG) chez de jeunes Québécois·e·s s’identifiant comme cisgenres et hétérosexuel·le·s. Elle documente, d’une part, l’hétérogénéité de ces représentations sociales et, d’autre part, celle des attitudes. Le cadre théorique mobilise la théorie des représentations sociales ainsi que les théories poststructuralistes féministes et queer. Concernant la récolte des données, treize entretiens semi-dirigés ont été menés puis analysés qualitativement au moyen de synthèses progressives et d’analyses principalement thématiques. Les résultats mettent en évidence quatre grands types de représentations des notions de sexe et de genre, structurés par la question de leur distinction et de leur origine perçue (biologique ou sociale). Ils montrent également des représentations sociales différenciées envers la diversité sexuelle par contraste avec la pluralité de genre. L’analyse des représentations des transidentités dans les contextes amoureux et sexuels révèle par ailleurs des réticences marquées, souvent associées à l’importance accordée à la chirurgie de réassignation sexuelle génitale. Enfin, une typologie des attitudes a permis d’identifier cinq profils allant de la critique au soutien. Ces résultats soulignent la complexité et l’ambivalence des représentations étudiées : un même individu peut manifester à la fois des attitudes inclusives et des représentations stéréotypées. Avec cette recherche, nous espérons contribuer à la connaissance des représentations de la diversité sexuelle et de la pluralité de genre ainsi qu’au débat actuel concernant leur acceptation et leur inclusion au Québec. This thesis presents a study on the social representations and attitudes toward sexual and gender diversity among young Quebecers identifying as cisgender and heterosexual. The research aimed, on the one hand, to document the heterogeneity of these social representations and, on the other hand, to explore the diversity of attitudes toward these issues. The theoretical framework draws on the theory of social representations as well as poststructuralist feminist and queer theories. For data collect, thirteen semi-structured interviews were conducted and analyzed qualitatively using progressive syntheses and mostly thematic analysis. The results highlight four main types of representations of the notions of sex and gender, structured around the question of their distinction and their perceived origin (biological or social). They also reveal differentiated social representations regarding sexual diversity compared to gender diversity. The analysis of representations of trans identities in romantic and sexual contexts reveals marked reluctance, often associated with the importance placed on sex reassignment surgery. Finally, a typology of attitudes identified five profiles ranging from criticism to support. These findings highlight the complexity and ambivalence of the representations studied: the same individual may display both inclusive attitudes and stereotypical representations. With this research, we hope to contribute to the understanding of representations of sexual and gender diversity, as well as to the ongoing debate surrounding their acceptance and inclusion in Quebec.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.064
GPT teacher head0.395
Teacher spread0.331 · 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 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
Published2025
Admission routes1
Has abstractyes

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Same venueEspaceINRS (National Institute for Scientific Research (Canada))→French-language works237,207→