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Record W4210493286 · doi:10.7202/1085574ar

Exposition à la violence conjugale : regards de jeunes adultes sur leur parcours de vie

2022· article· en· W4210493286 on OpenAlexaffvenue
Annie Dumont, Geneviève Lessard

Bibliographic record

VenueRevue Jeunes et Société · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité LavalUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsExposition (narrative)HumanitiesPoison controlSuicide preventionPsychologySociologyArtMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Population surveys involving North American youth suggest that between 14% and 19% of young people are likely to have been exposed to intimate partner violence during childhood. Such violence and its aftermath can have a significant impact on the life course trajectories of young adults, although this impact can also be tempered or aggravated by other life experiences. Based on semi-structured interviews with 35 young adults between the ages of 18 and 25 who were exposed to intimate partner violence in childhood or adolescence, this qualitative study aims to learn more about the connections between such exposure and other life course experiences. An adapted Life History Calendar was used during data collection. In addition to highlighting the superposition of study participants’ life course trajectories, analysis of the data also demonstrates the importance of agency in determining how these trajectories influence each other. Studies on exposure to intimate partner violence therefore need to consider not only the life contexts of the young people involved, but also the meaning these individuals ascribe to their experiences and to the actions they decide to take.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.339
Teacher spread0.311 · 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.

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

Citations3
Published2022
Admission routes2
Has abstractyes

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