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Record W3094969632 · doi:10.1017/alj.2020.21

Creative Research as Story-Telling: An Indigenous visual culture course from the perspectives of a librarian, a professor and students

2020· article· en· W3094969632 on OpenAlexaffabout
Howard Munroe, Daniel Payne

Bibliographic record

VenueArt Libraries Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsIndigenousExhibitionBachelorCurriculumLiteracySociologyNarrativeVisual artsInformation literacyThe artsIndigenous educationPedagogyMedia studiesPolitical scienceArtLiteratureLaw

Abstract

fetched live from OpenAlex

Abstract Located on Treaty #13 (Toronto Purchase) territory, OCAD University offers an Indigenous Visual Culture (INVC) program that leads to a Bachelor of Fine Arts degree or an interdisciplinary minor. The curriculum combines courses in the cultural, social and political history of Indigenous peoples, preparing students to engage in global discourses in contemporary art practice through a profound understanding of story-telling as the foundation of visual culture. A narrative framework is used to present an information literacy interaction with an INVC course from the perspectives of a librarian from the Canadian settler population and an assistant professor, who is a member of the Métis Indigenous nation. Research and evaluation models are presented; ones that emerged from traditional information literacy concepts informed and transformed by Indigenous knowledge systems. Finally, student learning outcomes from the course are presented through an exhibition of artworks and artist statements that display their visual story-telling skills.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.085
GPT teacher head0.356
Teacher spread0.271 · 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.

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

Citations2
Published2020
Admission routes2
Has abstractyes

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