MétaCan
Menu
Back to cohort
Record W6902654957 · doi:10.6093/2035-8504/9606

“A Game 10,000 Years in the Making”

2022· article· en· W6902654957 on OpenAlexaffabout

Bibliographic record

VenueUniversità degli Studi di Napoli Federico II · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsForegroundingIndigenousVideo gameNarrativeStorytellingAdaptation (eye)Field (mathematics)Sovereignty

Abstract

fetched live from OpenAlex

Inuit adaptation technologies, which have been in place for thousands of years, provide unique insight into the burgeoning field of Indigenous video game studies by advancing sovereign articulations of technology in digital space. Grounded in the principles of ikiaqtaq, an adaptation of a song, Never Alone / Kisima Ingitchuna (2014), extends and nuances how Indigenous stories translate into video games by foregrounding community sustainability and cultural flexibility. Addressing Iñupiaq video game development specifically, this essay demonstrates how ikiaqtaq, as demonstrated in Never Alone, generates the conditions for sovereign storytelling in the digital.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueUniversità degli Studi di Napoli Federico IISame topicDigital Games and MediaFrench-language works237,207