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Record W2919341588 · doi:10.7202/1055887ar

Les expériences de victimisation des jeunes à travers le prisme de l’intersectionnalité

2019· article· fr· W2919341588 on OpenAlexaffvenueabout
Martin Blais, Mathieu Philibert, Félix-Antoine Bergeron, Martine Hébert

Bibliographic record

VenueService social · 2019
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsVictimisationHumanitiesSociologyPoison controlArtSuicide preventionMedicine

Abstract

fetched live from OpenAlex

Le racisme, l’hétérosexisme et le cissexisme sont des formes d’oppression qui exposent les jeunes racisés, les jeunes de la diversité sexuelle et les jeunes trans ou en questionnement de leur identité de genre à de la violence. Nous inspirant de la théorie de l’intersectionnalité, nous avons exploré les expériences de victimisation vécues par les jeunes sur une période de 12 mois en fonction de ces formes d’oppression. L’échantillon analysé est composé de 2 276 personnes âgées de 14 à 23 ans recrutées à travers le Québec. Les résultats ont révélé que les personnes non hétérosexuelles, trans ou en questionnement étaient plus susceptibles de rapporter de la victimisation sur les sept indicateurs mesurés, et ce, d’autant plus si elles étaient racisées. Ces résultats révèlent la vulnérabilité de ces jeunes et illustrent la pertinence d’une approche intersectionnelle pour mieux appréhender leurs expériences de victimisation.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.356
Teacher spread0.320 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2019
Admission routes3
Has abstractyes

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