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Record W7037826001

Feature Story: Indigenous identity explored at conference

2015· other· en· W7037826001 on OpenAlexaboutno aff

Bibliographic record

VenueoURspace (University of Regina) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousIdentity (music)The artsTurtle (robot)MetisEthnographyPerforming arts
DOInot available

Abstract

fetched live from OpenAlex

Indigenous theatre and performance will be the focus of a national symposium that is being held jointly by the University of Regina and First Nations University of Canada with strong support from Saskatchewan arts organizations including Common Weal Community Arts, Sâkêwêwak Artists' Collective and Curtain Razors and Sakatchewan Native Theatre Company among many others. Performing Turtle Island will bring together established and emerging scholars to examine how Indigenous theatre and performance are connected to Indigenous identity and community health. The conference is being held from Sept. 17 to 19. “Performing Turtle Island is about bridging communities, across the U of R campus, the province, Canada, and the world,” says Dr. Jesse-Archibald Barber, an assistant professor of Indigenous Literature at First Nations University and Co-Director and Curator of the event.

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)0.002
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0250.004
Scholarly communication0.0090.005
Open science0.0020.009
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0480.005

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 head0.026
GPT teacher head0.224
Teacher spread0.198 · 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
Published2015
Admission routes1
Has abstractyes

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