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Record W7005396944

Public and Community Perceptions of Safe Injections Sites

2022· other· en· W7005396944 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Medicine Forum · 2022
Typeother
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsHarmHarm reductionOpioid overdosePublic healthSuicide preventionOccupational safety and healthPoison control
DOInot available

Abstract

fetched live from OpenAlex

The number of deaths by opioid overdose have quadrupled since 1999. In 2019 alone, there were about 50,000 deaths caused by overdoses and the numbers increase each year. While there are harm reduction techniques used to fight against this epidemic, they are clearly not sufficient as the number of deaths have been rising at staggering rates. A safe injection site is a facility that is staffed with medically trained individuals to operate a safe environment for those using injection drugs like opioids. In this systematic review of the literature is focused on obtaining the perceptions of the public specifically on safe injection sites. Two research databases, PubMed and Scopus, were utilized for this review. Peer-reviewed articles were screened based on specific eligibility criteria. Five peer-reviewed papers were selected for data extraction out of 261 screened articles. There were many similarities found amongst the papers but also differences. Two of the five studies found that more than half of participants were in favor of SIS. Political party affiliation was found to be the most likely correlating factor for support of SIS in four of the five papers. The differences amongst the results may be attributed to the vastly different countries including the US, France, and Canada. Data showing support for SIS in the US may be the start to potentially increasing their use against the opioid crisis in the US.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, 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: Other · Consensus signal: none
Teacher disagreement score0.512
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.2290.000

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 head0.186
GPT teacher head0.434
Teacher spread0.248 · 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