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Record W3013209834 · doi:10.1186/s12954-020-00366-3

You just have to have other models, our DNA is different: the experiences of indigenous people who use illicit drugs and/or alcohol accessing substance use treatment

2020· article· en· W3013209834 on OpenAlexaffabout
Jennifer Lavalley, Shelda Kastor, Malcolm Tourangeau, Ashley Goodman, Thomas Kerr

Bibliographic record

VenueHarm Reduction Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSt. Paul's HospitalUniversity of British ColumbiaPositive Living Society of British ColumbiaBritish Columbia Centre on Substance Use
FundersNational Institute on Drug AbuseNational Institutes of Health
KeywordsIndigenousContext (archaeology)Participatory action researchHarm reductionVulnerability (computing)Qualitative researchCommunity-based participatory researchSubstance abuseMedicinePublic relationsPsychologyPsychiatryNursingPublic healthSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

OBJECTIVES: In Canada, and elsewhere, indigenous peoples who use illicit drugs and/or alcohol (IPWUID/A) commonly experience vulnerability and a disproportionate burden of harm related to substance use. In Vancouver, Canada, there are concerns that inequitable access, retention, and post treatment care within substance use treatment programs may exacerbate these harms. This study sought to understand the policies and practices with the potential to produce inequities and vulnerabilities for IPWUID/A in substance use treatment, situate the vulnerabilities of IPWUID/A in substance use treatment within the context of wider structural vulnerability of IPWUID/A, and generate recommendations for culturally safe treatment options. METHODS: This research employed a qualitative indigenous-led community-based approach using the indigenous methodology of talking circles to explore experiences with substance use treatment. Under the participatory research framework, community researchers led the study design, data collection, and analysis. Talking circles elicited peers' experiences of substance use treatment and were audio-recorded and transcribed. RESULTS: The talking circles identified three key themes that illustrated the experiences of IPWUID/A when accessing substance use treatment: (a) barriers to accessing detox and substance use treatment; (b) incompatible and culturally inappropriate structure, policies, and procedures within treatment programs, such as forced Christianity within treatment settings; and (c) the importance of culturally relevant, peer-led substance use treatment programming. DISCUSSION: Our work demonstrates that some IPWUID/A have limited access to or retention in mainstream treatment due to excessive waiting times, strict rules, and lack of cultural appropriate care while in treatment. However, IPWUID/A narratives revealed strategies that can improve IPWUID/A access and experiences, including those informed by the diverse perspectives of IPWUID/A and those that include trauma-informed and culturally safe practices.

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)0.007
metaresearch head score (Gemma)0.011
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.627

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0340.027
Scholarly communication0.0060.005
Open science0.0020.012
Research integrity0.0030.007
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 head0.105
GPT teacher head0.348
Teacher spread0.243 · 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

Citations24
Published2020
Admission routes2
Has abstractyes

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