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Record W4382136371 · doi:10.22501/jar.1311963

Story in motion: creative collaborations on Tłıchǫ lands

2023· article· en· W4382136371 on OpenAlex
Adolfo Ruiz, Tony Rabesca

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal for Artistic Research · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousStorytellingParticipatory action researchAnimationExposition (narrative)Citizen journalismMotion (physics)Traditional knowledgeOral historySociologyVisual artsNarrativeAnthropologyMedia studiesWorld Wide WebArtComputer scienceEcologyLiterature

Abstract

fetched live from OpenAlex

This exposition describes a creative collaboration in the self-governed Tłı̨chǫ region of Canada’s Northwest Territories. As part of this collaboration, Indigenous research methods and participatory experiences facilitated a process by which regional oral history was visualised and translated into animation. As a long-term project, this research was based on relationships through which a non-Indigenous researcher was able to learn and exchange knowledge with elders and youth from the region. Community workshops facilitated image-making, storytelling sessions, and interaction between generations. The animated film that emerged through this research is an embodiment of cultural knowledge and cultural continuity. keywords: Animation, oral history, Indigenous, participatory design, collaboration, animation

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.309
GPT teacher head0.440
Teacher spread0.131 · 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