MétaCan
Menu
Back to cohort
Record W3199763266

Developing a healing and wellness program for First Nations boys and men: The Mishoomsinaang Mentorship Program

2021· article· en· W3199763266 on OpenAlexaboutno aff
Julie George, Melody E. Morton Ninomiya, Kathryn Graham, Samantha Wells

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoiceParticipatory action researchMental healthCommunity-based participatory researchFocus groupAction researchMentorshipEmpowermentIndigenousPsychologyNursingGerontologyMedical educationMedicineSociologyPedagogyPolitical sciencePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Very little is known about men’s lived experiences with, or tangible barriers to, accessing or receiving support for mental health, substance use, and violence challenges. This paper describes the development of a healing and wellness program for boys and men, developed by men in a First Nation community in southern Ontario, Canada, drawing on local data collected and using participatory action research. Men’s mental wellness was identified as a priority area after reviewing preliminary research findings from a community-wide survey; interviews with people with lived experiences with mental health, substance use, and/or violence challenges; and focus groups with service providers. Photovoice was then used as a form of participatory action research to develop a) a knowledge base on men’s health and well-being across the life course and b) a comprehensive, integrated, and culturally appropriate program of services for boys and men. Men who participated in the Photovoice study developed a program that supports Mino Bimaadiziwin, a way of life lived in accordance with original cultural teachings on the importance of Spiritual connectedness and how to live as Spiritual beings in harmony with all of Creation. We share how this community-driven research led to scalable program and recommendations to improve Indigenous boys and men’s mental health and wellness.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.934
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.541
GPT teacher head0.634
Teacher spread0.093 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicParticipatory Visual Research MethodsFrench-language works237,207