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Record W4382314758 · doi:10.7202/1099016ar

Jeunes trans et non binaires en protection de la jeunesse

2023· article· fr· W4382314758 on OpenAlexaffvenueabout
Annie Pullen Sansfaçon, Alexandre Blanchet, Ré Poulin Ladouceur, Josianne Picard, Martín Goyette

Bibliographic record

VenueCriminologie · 2023
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité de MontréalÉcole Nationale d'Administration PubliqueResearch Unit on Children's Psychosocial Maladjustment
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les jeunes trans et non binaires forment une population que l’on sait à risque de vivre des situations de discrimination et de violence et à très haut risque de vivre de la négligence parentale. Les quelques recherches disponibles sur leur expérience en protection de la jeunesse montrent que ces jeunes sont souvent forcé·e·s de vivre dans un genre qui ne leur convient pas et de subir de la discrimination à même ces milieux. L’article présente les données obtenues dans le cadre de l’Étude sur le devenir des jeunes placés (EDJeP), et décrit certaines caractéristiques des jeunes trans et non binaires en contexte de protection au Québec. Il dresse un portrait préliminaire de la situation de ces jeunes, des raisons de leur placement, ainsi que de leur satisfaction quant à leur expérience en protection de la jeunesse par rapport aux jeunes cis de l’EDJeP. Les résultats mettent en lumière la surreprésentation des jeunes trans et non binaires dans la population de jeunes placé·e·s par rapport à la population générale et permettent de constater que les jeunes trans et non binaires vivent des situations qui se distinguent de celles vécues par les jeunes cisgenres.

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)0.001
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 score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.005

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 head0.319
GPT teacher head0.478
Teacher spread0.159 · 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

Citations5
Published2023
Admission routes3
Has abstractyes

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