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Record W3133574514 · doi:10.1386/public_00038_1

CoC Methodology: Generating Communities of Care Within Indigenous Spaces Through Trauma-Informed Visual Culture

2020· article· en· W3133574514 on OpenAlexaboutno aff
Adrienne Huard

Bibliographic record

VenuePublic · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTheme (computing)Community practiceSociologyTraditional knowledgeVisual artsMedia studiesMedicineArtNursingComputer scienceEcology

Abstract

fetched live from OpenAlex

Interdisciplinary Two-Spirit, Métis/Saulteaux/Polish artist, Dayna Danger establishes Indigenous protocol through their artistic practice, which translates through their Mask series and their digital film Bebeschendaam , as they demonstrate the ways in which community is generated, upheld and maintained through their art works. In particular, these collaborative projects exemplify methodologies that revolve around building and nurturing community, which generates a Communities of Care methodology, formed by feminist theorist and scholar, bell hooks. Through this concept, Danger advocated for the term, CoC Methodology at their keynote at Concordia University’s Art History Graduate Student Association’s (AHGSA) 13 th annual symposium on the theme of Communities of Care, held in February 2019. CoC Methodology relates to the stability and growth of Two-Spirit, Indigiqueer, trans, female and gender-variant Indigenous folks. By advocating for CoC Methodology, Danger’s artistic practice not only concentrates on the creative output, but also on the facilitation of community building and safe-keeping.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.060
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.758
GPT teacher head0.626
Teacher spread0.132 · 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
Published2020
Admission routes1
Has abstractyes

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