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Record W4404593062 · doi:10.1080/10826084.2024.2431042

Including Families in a Response to the Unregulated Toxic Drug Crisis: A Call to Action

2024· article· en· W4404593062 on OpenAlexafffund
Holly Mathias, Sarah Auger, Petra Schulz, Elaine Hyshka

Bibliographic record

VenueSubstance Use & Misuse · 2024
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Alberta
FundersKillam TrustsPierre Elliott Trudeau Foundation
KeywordsCall to actionAction (physics)DrugCriminologyEnvironmental healthPsychologyBusinessMedicinePsychiatryAdvertising

Abstract

fetched live from OpenAlex

The unregulated toxic drug crisis continues to be an urgent health issue in North America. Many families of people who use drugs have been significantly impacted by this issue. In addition to the thousands of North Americans who have been bereaved by drug mortality, many families are providing unpaid care to bridge gaps in services while navigating the grief and stress associated with caring for a loved one amidst a heavily politicized and rapidly changing context. Despite the impact on families, few interventions are in place to lessen the burden of the crisis. This commentary presents a call to action to include families of people who use drugs in a public health response to the toxic drug crisis. We emphasize the need for (1) the consideration and involvement of families in all aspects of policy and program decision making, (2) the recognition of families of people who use drugs within national caregiving and bereavement strategies; (3) increased supports and services for families; and (4) additional research and public health monitoring on the impact of the toxic drug crisis on families.

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)0.024
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.037
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.000
Science and technology studies0.0170.015
Scholarly communication0.0070.018
Open science0.0040.010
Research integrity0.0370.040
Insufficient payload (model declined to judge)0.0100.001

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 head0.055
GPT teacher head0.341
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2024
Admission routes2
Has abstractyes

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