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Record W4414007059 · doi:10.36939/cjis/vol1no1/art1

“It's Only Right That You Should Play The Way You Feel It”

2025· article· en· W4414007059 on OpenAlexaff

Bibliographic record

VenueThe Canadian Journal of Indigenous Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyInternet privacyComputer science

Abstract

fetched live from OpenAlex

This conceptual paper explores Indigenous conceptualizations of “creativity” through the creative production of practicing Indigenous creators. Too frequently, the creativity of Indigenous Peoples is misunderstood or pathologized by non-indigenous people as a function of a restricted vision of what constitutes creative production. The culturally embedded construction of creativity as a concept contributes to the misinterpretation of creativity and creative output. This paper begins with an examination of a single viral TikTok video which developed through conversations and reflections with colleagues and community. These conversations led to the initial exploration into Indigenous creatives’ conceptions of creativity. Using Indigenous creatives’ language as a site of analysis, this paper offers reflections on the creative process of Indigenous Peoples, centered in: identity, resisting invisibility and countering erasure, connecting creativity to activism, creativity as a site of joy and celebration and creativity as community building and connection. In exploring creativity, this paper hopes to support educators in their work with Indigenous students, as well as those working with Indigenous Peoples’ topics and content in developing culturally responsive conceptions of Indigenous creativity.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.984
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.053
Scholarly communication0.0070.007
Open science0.0010.005
Research integrity0.0020.004
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 head0.046
GPT teacher head0.333
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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