MétaCan
Menu
Back to cohort
Record W4384299688 · doi:10.32799/ijih.v18i1.39510

Establishing Core Content for Culturally Grounded Harm Reduction Intervention for Urban Indigenous After-School Youth in the Pacific Northwest

2023· article· en· W4384299688 on OpenAlexvenueno aff
Matt Ignacio, Sarah Sense-Wilson, D. M. Lucero, Quinton Antone, Tony Locklear, Rana Crowder, Jane Lee, Amelia R. Gavin

Bibliographic record

VenueInternational Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousParticipatory action researchCulturally appropriateHarmHarm reductionCommunity-based participatory researchIntervention (counseling)Drug preventionPsychologyGerontologySociologyMedicinePublic healthSubstance abuseSocial psychologyNursingPsychiatryEcologyAnthropology

Abstract

fetched live from OpenAlex

Indigenous adults (18 years or older) including parents, staff, and volunteers of an urban Indigenous youth after-school program participated in individual interviews (n = 10) as part of a community-based participatory research (CBPR) Indigenous harm reduction study to identify alcohol and other drug (AOD) content to include in prevention programming for youth participants. Adult findings were organized using a risk environment framework to identify culturally relevant social, physical, policy, and economic AOD risk factors for youth. We report where adult findings intersect with previously described youth results to establish a list of core content (i.e., culturally relevant AOD prevention activities and discussion topics) to guide program implementation. Core content includes intergenerational Indigenous perspectives (i.e., youth, adult, and elder) to reflect Indigenous cultural lifeways and values of protecting future generations. Findings may be highly relevant to other Indigenous after-school groups or others who wish to develop harm reduction prevention programming for urban Indigenous youth in the Pacific Northwest or beyond.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.356
Teacher spread0.297 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Indigenous HealthSame topicIndigenous Health, Education, and RightsFrench-language works237,207