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Record W2472361349 · doi:10.3167/sib.2016.150103

Trickster Lessons in Early Canadian Indigenous Communities

2016· article· en· W2472361349 on OpenAlexfundaboutno aff
Carolyn Podruchny

Bibliographic record

VenueSibirica · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaEuropean Science FoundationUniversity of TorontoYork UniversityNational Science Foundation
KeywordsTricksterIndigenousOptimal distinctiveness theoryEthnologyActive listeningHistorySociologyEnvironmental ethicsGender studiesGeographyAnthropologyEcologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

This article compares the trickster stories of Anishinaabeg (Ojibwes) and Ininiw (Cree) people, specifically the Swampy Cree or Omushkegowak, in northern Canada. Focusing on one storyteller from each culture—Omushkego Louis Bird from the west coast of James Bay and Anishinaabe William Berens from the east coast of Lake Winnipeg—the article demonstrates that the long-term practice of telling sacred stories taught Indigenous peoples how to survive and thrive in their harsh environments. Although Omushkego stories highlight the importance of individual resourcefulness for survival, stories from both cultures emphasize that people should live together in communities to achieve the best life. The article also emphasizes the importance of appreciating local distinctiveness, listening carefully to Indigenous voices, and seeking guidance from Indigenous people.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.998

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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.316
Teacher spread0.282 · 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.

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

Citations1
Published2016
Admission routes2
Has abstractyes

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