Public and Community Perceptions of Safe Injections Sites
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.229 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it