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Record W2076419492 · doi:10.1177/0898010107306201

The Use of Puppetry for Health Promotion and Suicide Prevention Among Mi'Kmaq Youth

2008· article· en· W2076419492 on OpenAlexaff
John Jacono, Brenda Jacono

Bibliographic record

VenueJournal of Holistic Nursing · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSt. Francis Xavier UniversityCape Breton University
Fundersnot available
KeywordsRedressPromotion (chess)Relevance (law)Inclusion (mineral)NursingMedicineSociologyPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

PURPOSE: North American aboriginal youth have been shown to exhibit some of the highest suicide rates in the world. In this article, the authors examine the main factors related to suicide among aboriginal youth and ways to redress what many consider the most important factor. MAIN FACTOR: While many factors contribute to suicide plans, the literature would suggest "discontinuity" with heritage to have a particularly negative impact that needs priority redress. STRATEGY: A group of Mi'Kmaq elders and an interdisciplinary group of academicians blended traditional Mi'Kmaq knowledge and Western Science knowledge to develop a strategy to address such discontinuity. It involved using puppets made from natural forest materials to promote culture, language, and history. This article describes the strategy, its rationale, as well as its relevance for, and application to, holistic nursing.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.148
GPT teacher head0.404
Teacher spread0.257 · 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

Citations36
Published2008
Admission routes1
Has abstractyes

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