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Record W4386844277 · doi:10.7202/1101459ar

Expérience et vécu des parents d’enfants trans et de la diversité de genre vivant en région

2023· article· fr· W4386844277 on OpenAlexaffvenueabout
Annie Pullen Sansfaçon, Natasha Dionne, Tommly Planchat, Jennifer Dyer-Seymour, Sarah Picket, Julie Temple-Newhook, Kimberley Ens Manning, Julie James, Jennifer C. Davis

Bibliographic record

VenueService social · 2023
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCapilano UniversityConcordia UniversityUniversité de MontréalMemorial University of NewfoundlandResearch Unit on Children's Psychosocial Maladjustment
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

De plus en plus de recherches démontrent l’importance du soutien parental comme facteur de protection face aux risques de santé mentale pour les jeunes trans et de la diversité de genre (TDG). Ces études sont primordiales pour l’accompagnement et le bien-être de ces jeunes. Toutefois, la perspective des parents vivant hors des grandes métropoles reste peu connue et leur vécu demeure mal compris. Cette recherche, la première sur le sujet, explore ainsi les expériences, les défis et les points plus positifs rencontrés en tant que parents de jeunes TDG vivant en région. Nous avons interviewé 9 parents vivant hors d’un grand centre urbain, dans différentes régions du Québec, et réalisé une analyse thématique. Les résultats montrent un vécu globalement positif pour les parents, qui toutefois rencontrent de gros défis quant à l’accessibilité aux services de santé et sociaux pour leurs enfants. Des recommandations sont discutées afin d’améliorer l’expérience des jeunes TDG vivant en région ainsi que de leurs parents.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.411
Teacher spread0.375 · 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.

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

Citations2
Published2023
Admission routes3
Has abstractyes

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