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Record W4238258555 · doi:10.32920/ryerson.14656317.v1

Virtual Aamjiwnaang: Indigenous interactive storytelling

2021· preprint· en· W4238258555 on OpenAlexaff
Laurence Butet-Roch

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsToronto Metropolitan UniversityUniversity of British Columbia
Fundersnot available
KeywordsStorytellingIndigenousHonourDigital storytellingColonialismInteractive storytellingMedia studiesSociologyComputer scienceAestheticsWorld Wide WebNarrativeHistoryArtLiteratureArchaeology

Abstract

fetched live from OpenAlex

Stories shape how we understand ourselves and the world around us. They inform our sense of belonging, and connect us to our past. Stories are our lives. And we are our stories. Given their undeniable weight, we ought to question what their form and content teaches us. Increasingly, stories are shared as interactive digital experiences; a reshaping that impacts their configuration, their reach and their outcome. For Indigenous peoples, who continue to resist the colonial paradigm, digital storytelling can represent a weapon of subtle yet pervasive colonialism or be a tool to talk back. Virtual Aamjiwnaang is an interactive platform that integrates Indigenous storytelling practices in recounting the lived realities of the Aamjiwnaang First Nation online. Inspired by the Two-Eyed Seeing approach, which encourages embracing multiple perspectives, and building on previous digital experiences, Virtual Aamjiwnaang proposes methods for creating digital territories that honour Indigenous ways of knowing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.071
GPT teacher head0.403
Teacher spread0.332 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2021
Admission routes1
Has abstractyes

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