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Record W2898327006 · doi:10.32799/ijih.v13i1.30264

Milo Pimatisiwin Project

2018· article· en· W2898327006 on OpenAlexaffvenueabout
Janice Cindy Gaudet, Carmen Chilton

Bibliographic record

VenueInternational Journal of Indigenous Health · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousPrivilege (computing)SociologyFocus groupCommunity projectProject teamFirst nationPublic relationsPolitical scienceManagementSocial scienceLawEcologyAnthropology

Abstract

fetched live from OpenAlex

The Milo Pimatisiwin Project is a community-centred initiative of John Delaney Youth Centre in the Moose Cree First Nation community in the James Bay region, Ontario, Canada. This article describes the creation of this collaborative youth-centred project and how it re-centres Indigenous values and conception of health and wellbeing. The article begins with an overview of the Cree philosophy of milo pimatisiwin, “good and healthy living.” This sets the background for the focus of the article, namely the significance of sharing pimatisiwin teachings over the local youth radio station and within land-based initiatives. The study includes the project results and feedback from the youth engaged in the project. It also describes the Youth Services Director’s vision and leadership efforts to enhance culturally relevant programming at the Youth Centre. Finally, it discusses lessons learned in the project and suggests best ways to enhance wellbeing in community-engaged research initiatives. The aim is to privilege Indigenous people, their knowledge and experiences, and their critical role in decolonizing notions of health and wellbeing within research practices and community-centred initiatives.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.396
Teacher spread0.369 · 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

Citations5
Published2018
Admission routes3
Has abstractyes

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