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Record W1927482674

SPIRITUALITY IN FIRST NATIONS STORY TELLING: A Sahnish-Hidatsa Approach to Narrative.

2014· article· en· W1927482674 on OpenAlexaboutno aff
Michael James Yellow Bird

Bibliographic record

VenueReflections: Narratives of Professional Helping (Click on Current or Archives; Registration Optional) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeStorytellingSpiritualityDownloadIndigenousWarrantySociologyHistoryMedia studiesPsychologyLiteratureLawPolitical scienceWorld Wide WebComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

In this narrative I share four aspects of storytelling that support the spirituality of First Nations' people. I begin with a portion of the Sahnish genesis story and its identification of our spiritual beliefs and history. I discuss the significance and purpose of traditional narratives in relation to the manner of storytelling by the elders in our village. I then explain how the telling of narrative in our indigenous languages is diminishing, illustrated by a story that my mother has shared concerning my grandfather's Indian boarding school experience. [ABSTRACT FROM AUTHOR] Copyright of Reflections : Narratives of Professional Helping is the property of Cleveland State University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.021
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.095
GPT teacher head0.426
Teacher spread0.331 · 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 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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueReflections: Narratives of Professional Helping (Click on Current or Archives; Registration Optional)→Same topicIndigenous Health, Education, and Rights→French-language works237,207→