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Record W4401748512 · doi:10.1080/02601370.2024.2393875

Literacy learning and changing social practices in a community art project for women with experience of the criminal justice system

2024· article· en· W4401748512 on OpenAlexaffabout
Marie Michèle Grenon, Virginie Thériault

Bibliographic record

VenueInternational Journal of Lifelong Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLiteracyCriminal justiceSociologySocial justiceCriminologyCommunity educationPedagogyPolitical science

Abstract

fetched live from OpenAlex

This article seeks to understand what a group of women with experience of the criminal justice system learned through taking part in a community art project, particularly in terms of their literacy. It draws on an ethnographic study of a community art project carried out by the Collectif Art Entr’Elles which took place in a halfway house in Montreal (Canada) where prisoners can apply to complete their sentence and prepare for their social reintegration. Using a non-linear narrative structure, the collaborative sound work produced sought to break down prejudices by making these women’s voices heard in public space. Drawing on Lave’s (2019) theory of social practice, we explore in more detail the experience and learning journey of one of the women involved. Our analysis indicates that non-formal education, especially when it takes the form of community arts projects, can play a positive role in the diversification and enhancement of literacy practices that are key to the social reintegration and wellbeing of women with experience of the criminal justice system. As such, non-formal community arts education can be an important vehicle for social justice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.075
GPT teacher head0.431
Teacher spread0.357 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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