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Record W2928559293

Mothers take action: Fostering solidarity and re appropriating social and political space through a collective creative project

2018· article· en· W2928559293 on OpenAlexaboutno aff
Florence Godmaire-Duhaime, Anne-Marie Bellemare, Sebrena Caine, Alan Behary Laul-Sirder

Bibliographic record

VenueInternational Journal of Narrative Therapy and Community Work · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSolidaritySociologyEmpowermentNature versus nurtureNarrativePoliticsProject commissioningPublic relationsThe artsOppressionPublishingAction (physics)Creative briefSocial psychologyPolitical sciencePsychologyCreativity
DOInot available

Abstract

fetched live from OpenAlex

This paper presents a case study and analysis of the use of creative arts and narrative tools in the practice of social work, with a particular focus on fostering solidarity and social change. We describe an innovative project aimed at tackling oppression with a group by and for migrant mothers in Montreal. First, we discuss how arts practices can be used to connect with ourselves and to nurture a collective consciousness. Second, we show how creative writing and the narrative process can offer a way of connecting in a community-based group, and can foster community empowerment. Third, we develop the idea that the dissemination of a collectively created artwork can create connections with the broader community and function as a tool for social change.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.013
Scholarly communication0.0060.003
Open science0.0020.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.250
GPT teacher head0.398
Teacher spread0.147 · 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 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
Published2018
Admission routes1
Has abstractyes

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