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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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