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A pilot project of school‐based intervention integrating drama and language awareness

2011· article· en· W2158750591 on OpenAlexaffabout
Cécile Rousseau, Françoise Armand, Audrey Laurin‐Lamothe, Marie‐France Gauthier, Rita Saboundjian

Bibliographic record

VenueChild and Adolescent Mental Health · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsMcGill UniversityUniversité de MontréalMcGill University Health Centre
Fundersnot available
KeywordsIntervention (counseling)DramaNeighbourhood (mathematics)RefugeePsychologyImmigrationClinical psychologyMedical educationMedicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: To help immigrant and refugee adolescents experiencing a severe academic delay cope with adversity, a school-based intervention combining drama workshops and language awareness activities was piloted in two classrooms. METHOD: A qualitative analysis of participant observations was performed and the Strength and Difficulty Questionnaire and its Impairment Supplement was administered before and after the intervention. The observations were carried out in two Montreal high schools serving an underprivileged neighbourhood of immigrants, involving two classrooms of underschooled adolescents (n = 27) and two classes of similarly underschooled adolescents chosen among other teachers interested in the intervention, who accepted to participate as a comparison group (n = 28). RESULTS: The adolescents shared their experiences of adversity and felt empowered by the workshops. Self-reported impairment decreased in the intervention groups. CONCLUSION: The protective effect of creative language activities for immigrant and refugee youth should be further investigated.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.053
GPT teacher head0.359
Teacher spread0.307 · 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

Citations78
Published2011
Admission routes2
Has abstractyes

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