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Record W1594499230 · doi:10.56105/cjsae.v22i1.1001

Street life's creative turn: An exploration of arts-based adult education andknowledge mobilization with homeless/street-involved women in Victoria

2009· article· en· W1594499230 on OpenAlexaffvenue
Darlene E. Clover, Corrina Craig

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMobilizationAdult educationSociologyThe artsGender studiesInner cityPolitical scienceVisual artsPedagogySocioeconomicsArt

Abstract

fetched live from OpenAlex

Using interviews, focus groups, learning journals, and observations, we explored the impact of an arts-based adult education project on 20 homeless/street involved women in Victoria and members of the public who attended exhibitions of the artworks they produced. Although not without challenges, the project created a strong sense of belonging by building trust and new connection. It also encouraged artistic skill development and metaphoric and creative responses to difficult social issues. Meaning, artistic identity, and empowerment came from creating artworks collectively, and from the recognition the women received from sharing their art publicly. Résumé Les entretiens d’utilisation, les groupes de foyer, apprenant des journaux et des observations, nous avons exploré l’impact d’un projet d’enseignement pour adultes arts-basé sur 20 sans abri/femmes impliquées par la rue dans Victoria et les membres du public qui a assisté des expositions des travaux d’art qu’ils ont produits. Bien que pas sans les défis, le projet a créé un fort sens d’appartenir en construiant la confiance et la nouvelle connexion. Il a encouragé aussi le développement artistique de compétence et les réponses métaphoriques etcréatives aux problèmes sociaux difficiles. Signifiant, l’identité et l’autonomisation artistiques sont venues de créer de travaux d’art collectivement mais.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.055
GPT teacher head0.406
Teacher spread0.351 · 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

Citations8
Published2009
Admission routes2
Has abstractyes

Explore more

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