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Record W2890846867 · doi:10.1177/1177180118796870

Arts-based research methods with indigenous peoples: an international scoping review

2018· article· en· W2890846867 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCanadian Standards AssociationUniversity of Ottawa
Fundersnot available
KeywordsPhotovoiceIndigenousParticipatory action researchDigital storytellingThe artsStorytellingAction researchDanceTraditional knowledgeSociologyCommunity engagementVisual artsSocial sciencePolitical sciencePublic relationsPedagogyAnthropologyNarrativeArt

Abstract

fetched live from OpenAlex

Research with indigenous peoples worldwide carries long histories of exploitation, distorted representation, and theft. New “indigenizing” methodologies centre the production of knowledge around the processes and knowledges of indigenous communities. Creative research methods involving artistic practices—such as photovoice, journaling, digital storytelling, dance, and theatre—may have a place within these new approaches, but their applications have yet to be systematically explored. We conducted a scoping review of 36 international research studies literature on arts-based research with indigenous peoples. The majority of studies used photovoice and were conducted in Canada, USA, Australia, or New Zealand. We identify five primary fields in which arts-based methods may offer benefit to an indigenous research agenda: (a) participant engagement, (b) relationship building, (c) indigenous knowledge creation, (d) capacity building, and (e) community action. We propose several opportunities to further explore arts-based methods with indigenous peoples.

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.

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)0.024
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0040.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.683
GPT teacher head0.715
Teacher spread0.032 · 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