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Record W2991412226 · doi:10.1017/s0714980819000631

Prioritizing Indigenous Elders’ Knowledge for Intergenerational Well-being

2019· article· fr· W2991412226 on OpenAlexaffabout
Gladys Rowe, Silvia Straka, Michael Hart, Ann M. Callahan, Don Robinson, Garry Robson

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsThompson Rivers UniversityUniversity of Manitoba
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

RÉSUMÉ Le rapport final de la Commission de vérité et réconciliation du Canada (2015) a souligné la nécessité de soutenir l’autodétermination des Autochtones pour remédier aux séquelles des pensionnats. Cependant, la recherche sur le vieillissement autochtone demeure dominée par les colons. Dans le cadre de cette étude indigéniste menée par une équipe de recherche comprenant des Cris et des colons, des aînés autochtones ont été interrogés pour connaître les éléments qui seraient nécessaires, selon eux, pour le soutien du bien-être des personnes âgées de leurs communautés. Les aînés ont affirmé que la guérison des survivants âgés passe par la reconnexion avec les savoirs culturels que les pensionnats ont cherché à éradiquer. En renouant avec leurs rôles traditionnels dans la transmission des connaissances, les personnes âgées soutiennent non seulement leur propre guérison, mais aussi celle de toute leur communauté. Cette compréhension de la nature profondément interrelationnelle des communautés autochtones implique que le bien-être des personnes âgées dépend de la réappropriation de leur identité culturelle, mais aussi de leur rôle en tant que transmetteurs intergénérationnels de savoirs.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.253
Teacher spread0.242 · 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 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

Citations58
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicIndigenous Health, Education, and RightsFrench-language works237,207