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Record W7065419527

"The drug is not the problem" : the perceptions of those who have experienced substance addiction on Canadian drug policy

2020· article· en· W7065419527 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAddictionDrugGovernment (linguistics)DecriminalizationIllicit drugControlled substanceQualitative researchPopulationSubstance use
DOInot available

Abstract

fetched live from OpenAlex

In recent years thousands of people have died due to illicit drug overdoses caused by increasingly powerful and contaminated substances offered through the illicit drug market (Corace et al., 2019). The current drug-related overdose crisis has presented an opportunity for drug policy changes throughout Canada. While the current government has made progressive changes to Canadian drug policy in recent years, further research on effective and efficient drug policy is warranted to combat the growing concerns related to the harms associated with drug use and substance addiction.\nThis study furthers the understanding of how those who have experienced substance addiction view the current and past drug policies in Canada. This research also served to gain this population’s insight on the effective and ineffective drug strategies within the system and what approach would best prevent and treat substance addiction. To complete this research, 19 qualitative one-on-one interviews were conducted with individuals who have experienced or are currently experiencing substance addiction.\nSeveral related themes emerged from the interviews, including findings that demonstrate the support among people who have had substance addiction for: the decriminalization of all illicit substances in Canada; a legalized safe supply of specific illicit substances; a rehabilitated and modern approach to treatment programs for substance addiction; and the reduction or elimination of stigmatization towards people who use drugs. The findings of this research add to the growing body of literature that considers the perspectives of those who are addicted to illicit substances – a population that is arguably the most affected by drug policy.

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 categoriesScience and technology studies, Insufficient 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 score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

Explore more

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