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Record W4392014891 · doi:10.46747/cfp.7002117

Healing journey

2024· article· en· W4392014891 on OpenAlexaffvenueabout
Sharen Madden, Ariel Root, Maria Cindy Suganaqueb, Levi Sofea, Carla Duncan, Janet Gordon, Jenna Poirier, Charles Meekis, Deiter Sainnawap, Ruben Hummelen, Len Kelly

Bibliographic record

VenueCanadian Family Physician · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsFirst Nations Health and Social Secretariat of ManitobaAssembly of First NationsFirst Nations University of CanadaNOSM University
Fundersnot available
KeywordsIndigenousAddictionThematic analysisDiscontinuationMedicineNursingQualitative researchFamily medicinePsychologyPsychiatrySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand experiences of recovery from opioid use among First Nations individuals living in a small remote community. DESIGN: Qualitative phenomenologic study. SETTING: Northwestern Ontario. PARTICIPANTS: Sixteen First Nations individuals living in a remote community who had participated in or completed the community opioid agonist therapy program. METHODS: Extensive community consultation took place to ensure local acceptance of the study and permission for publication. Semistructured telephone interviews with consenting participants were audiorecorded between November and December 2021 and transcribed. Transcripts were reviewed and discussed in meetings with Indigenous and non-Indigenous research team members who conducted thematic analysis using immersion and crystallization. MAIN FINDINGS: Participants described their opioid use as a form of self-management of trauma. Their recovery processes were multifaceted and included developing cultural and self-awareness. Motivation for change often arose from concerns about family well-being and finances. Traditional cultural practices and time spent on the land were identified as important wellness experiences. Barriers to healing included limited clinical and holistic addiction services, particularly around dose weaning and opioid agonist therapy discontinuation. CONCLUSION: Community-based addiction programming for First Nations patients needs to be robust. It requires resources for trauma-informed clinical and addiction care, culturally appropriate addictions education, aftercare support, and land-based activities.

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.299
Teacher spread0.272 · 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
GenreOther

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
Published2024
Admission routes3
Has abstractyes

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