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Record W7001293873

Integrative review on place-based and other geographically defined responses to drug-related threats in communities

2024· report· en· W7001293873 on OpenAlexaboutno aff

Bibliographic record

VenueLenus, The Irish Health Repository (Dr Steevens Hospital Library) · 2024
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipContext (archaeology)Action (physics)CharterElement (criminal law)IrishPsychological interventionTask (project management)
DOInot available

Abstract

fetched live from OpenAlex

A key element in successive Irish drugs strategies has been the involvement of nongovernmental
\norganisations and public agencies at various levels, from the local to the national,
\nwith the participation of communities and local stakeholders being central to Action 4.1.39 of
\nthe current strategy (Department of Health 2017). The key role accorded to Local and Regional
\nDrug and Alcohol Task Forces in responding to drug-related threats confirms the importance
\nof working in partnership with communities, which is a central principle of the World Health
\nOrganization Ottawa Charter (WHO 1986) and the Action Framework of the European Monitoring
\nCentre for Drugs and Drug Addiction (EMCDDA 2021). It is useful, in this context, to review the
\ninternational literature on interventions that seek to tackle drug-related harms at the local level
\nby involving communities, with a view to providing a more comprehensive evidence base that
\ncan contribute to policy debates in Ireland. The aim of this report is thus to provide a summary
\nof the international evidence on place-based initiatives in the context of drug-related harms.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.448
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.005
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 head0.034
GPT teacher head0.318
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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