MétaCan
Menu
← Back to cohort
Record W4389741684 · doi:10.1108/ijoph-01-2023-0008

“We don’t even know where it’s kept”: exploring perspectives on naloxone administration by provincial correctional workers in Manitoba, Canada

2023· article· en· W4389741684 on OpenAlexaffabout
Rosemary Ricciardelli, Matthew S. Johnston, Katharina Maier

Bibliographic record

VenueInternational Journal of Prison Health · 2023
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of WinnipegMemorial University of Newfoundland
Fundersnot available
KeywordsPrison(+)-NaloxoneFeelingAdministration (probate law)MedicineOpioid overdosePsychologyCriminologyOpioidSocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

PURPOSE: Prisonersare at disproportionate risk of suffering substance-related harms. The administration of naloxone is essential to reversing opioid overdose and minimizing substance-related harms in prison and the community. The purpose of this study is to examine how naloxone administration is practiced and perceived in prison settings. DESIGN/METHODOLOGY/APPROACH: = 257) to examine how they understand and feel about the need for and practice of administering naloxone in their everyday work with criminalized populations. FINDINGS: Respondents reported feeling a great need to administer naloxone, but most did not feel adequately trained to administer naloxone, creating the perception that criminalized populations remain at enhanced risk. ORIGINALITY/VALUE: Findings provide emerging evidence of the need for training and accompanying policies and procedures for correctional workers on how to access and administer naloxone.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0310.010
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.331
Teacher spread0.273 · 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 designQualitative
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

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Prison Health→Same topicSubstance Abuse Treatment and Outcomes→French-language works237,207→