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Record W2962112472 · doi:10.54656/tqws7641

Cultural Adaptation of a Substance Abuse Prevention Program as a Catalyst for Community Change

2016· article· en· W2962112472 on OpenAlexaboutno aff
Mélissa Tremblay

Bibliographic record

VenueJournal of Community Engagement and Scholarship · 2016
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipIndigenousContext (archaeology)StakeholderOutcome (game theory)Public relationsPsychologyAdaptation (eye)Medical educationApplied psychologyBusinessPolitical scienceMedicineGeography

Abstract

fetched live from OpenAlex

The aim of the current paper is to discuss the use of Outcome Mapping as a tool for evaluating community and stakeholder changes that occurred when a prevention program was culturally adapted and delivered through a community-university partnership. To the authors’ knowledge, this paper represents the first account of using Outcome Mapping as an evaluation tool in a Canadian Indigenous context. Changes in the behavior, actions, activities, and relationships of five boundary partners were retrospectively documented using the tool. Data demonstrated positive impact on Elders and students; growing community investment in and support for the Maskwacis Life Skills Training program’s cultural components; progressive increases in community ownership of the program; and growth in the community-university partnership. Overall, Outcome Mapping provided a systematic method for understanding peripheral changes that are often overlooked in conventional research and evaluation, but that nonetheless indicate progress toward community changes and long-term impact.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.503
GPT teacher head0.496
Teacher spread0.006 · 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
Published2016
Admission routes1
Has abstractyes

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