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Record W2319729871 · doi:10.1386/eta.9.1.23_1

‘In Between the Fireflies’: Community art with senior women of chinese heritage around issues of culture, language and storytelling

2013· article· en· W2319729871 on OpenAlexaffabout
Heather McLeod, Kathryn Ricketts

Bibliographic record

VenueInternational Journal of Education through Art · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsSimon Fraser UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsStorytellingEmpowermentHeritage languageNarrativeSociologyPedagogyEthnographySurrenderPublic relationsPower (physics)Citizen journalismNegotiationPolitical scienceMedia studiesSocial scienceArtAnthropologyLaw

Abstract

fetched live from OpenAlex

Participants were empowered through their engagement in the process of two recent separate community art research projects that highlighted the benefits of dialogue in art-making and increased participation as facilitators ceded authority to participants. Both projects used ethnography and narrative methods. The participants were senior women of Chinese heritage in Western Canada who could not fluently speak Canada’s dominant languages and some could not read or write in any language. Their involvement focused around issues of culture, language and storytelling. Reflecting on the projects suggested new avenues of research to learn more distinctly about such empowerment, and facilitated our personal creative work. Based on this learning, we continue to develop new initiatives for the education of pre-service teachers that will involve possibilities for transformation and the counter-hegemonic. Dialogue benefits art-making, and the possibilities for participation in creative community education projects are increased when planners surrender power to participants.

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)0.002
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 score0.174
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.178
GPT teacher head0.570
Teacher spread0.393 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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