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Record W4404998111 · doi:10.7202/1114799ar

Faire de la prévention autrement ! Les adaptations du programme ESPACE en contexte pandémique

2024· article· fr· W4404998111 on OpenAlexaffvenue
Célyne Lalande, Karine Baril, Geneviève Lessard, Ariane Landry-Duschesne, Nathalie Leduc

Bibliographic record

VenueNouvelles pratiques sociales · 2024
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsRegroupement des Organismes Communautaires Québécoise de Lutte au DécrochageUniversité LavalCégep de l'Outaouais
Fundersnot available
KeywordsHumanitiesPolitical scienceCoronavirus disease 2019 (COVID-19)ArtMedicine

Abstract

fetched live from OpenAlex

Les organismes ESPACE ont adapté leur programme de prévention de la violence envers les enfants afin de maintenir sa diffusion dans les établissements scolaires et à l’extérieur de ceux-ci en contexte de COVID-19. La tenue d’un groupe de discussion regroupant cinq animatrices d’ESPACE et l’analyse de rapports d’activités d’organismes ESPACE produits entre 2019 et 2022 ont permis de documenter ces adaptations. Il ressort des analyses que les ateliers virtuels pour parents et les activités en ligne sont une avenue prometteuse pour prévenir la violence envers les enfants. Toutefois, ces activités doivent impérativement être évaluées pour bien en mesurer le potentiel.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.050
GPT teacher head0.347
Teacher spread0.297 · 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
Published2024
Admission routes2
Has abstractyes

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