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Record W4413920594 · doi:10.22215/cujs.v5i1.5322

Adaptation of Icelandic Model for Prevention of Adolescent Substance Use in New Brunswick

2025· article· en· W4413920594 on OpenAlexaffabout
Zac Arseneau, Amanda Bellefeuille, Tanya Halsall

Bibliographic record

VenueCarleton undergraduate journal of science. · 2025
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of OttawaCarleton University
Fundersnot available
KeywordsIcelandicAdaptation (eye)Substance usePsychologyGeographyClinical psychology

Abstract

fetched live from OpenAlex

The Icelandic Prevention Model (IPM) is a multi-level community collaborative initiative that focuses on broader social and environmental determinants over individual-based intervention, aiming to prevent substance use. The IPM is now being applied in other countries, and there is a need to explore implementation strategies to support adoption of the model in new settings. The objective of this research is to examine stakeholder perceptions of the implementation barriers and facilitators within the early stages of IPM implementation in New Brunswick, Canada. Semi-structured qualitative interviews and focus groups were held with key stakeholders (N = 35) and data were analyzed using QSR NVivo using thematic analysis. The results are categorized in two over-arching themes focused on barriers and facilitators. We identified themes related to barriers, including partnership challenges, maintaining sustained engagement over the long-term and lack of community engagement and buy-in. Additional themes related to facilitators highlight components of the IPM that facilitate implementation, effective implementation strategies and building relationships in community. This paper offers new insights related to the implementation of the IPM in Canada, which will be valuable for other communities interested in implementing the model, as well as for future policy and practice in implementation of upstream prevention initiatives.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.064
GPT teacher head0.320
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes2
Has abstractyes

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