MétaCan
Menu
Back to cohort
Record W2995589306 · doi:10.1186/s12954-019-0332-4

“There is a Place”: impacts of managed alcohol programs for people experiencing severe alcohol dependence and homelessness

2019· article· en· W2995589306 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHarm Reduction Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsLakehead UniversityMacEwan UniversityUniversity of AlbertaUniversity of Victoria
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsHarm reductionCriminalizationAbstinencePsychological interventionPovertyHarmEnvironmental healthHealth psychologyPublic healthPsychologyCriminologyMedicinePsychiatryPolitical scienceSocial psychologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The twin problems of severe alcohol dependence and homelessness are associated with precarious living and multiple acute, social and chronic harms. While much attention has been focused on harm reduction services for illicit drug use, there has been less attention to harm reduction for this group. Managed alcohol programs (MAPs) are harm reduction interventions that aim to reduce the harms of severe alcohol use, poverty and homelessness. MAPs typically provide accommodation, health and social supports alongside regularly administered sources of beverage alcohol to stabilize drinking patterns and replace use of non-beverage alcohol (NBA). METHODS: We examined impacts of MAPs in reducing harms and risks associated with substance use and homelessness. Using case study methodology, data were collected from five MAPs in five Canadian cities with each program constituting a case. In total, 53 program participants, 4 past participants and 50 program staff were interviewed. We used situational analysis to produce a series of "messy", "ordered" and "social arenas" maps that provide insight into the social worlds of participants and the impact of MAPs. RESULTS: Prior to entering a MAP, participants were often in a revolving world of cycling through multiple arenas (health, justice, housing and shelters) where abstinence from alcohol is often required in order to receive assistance. Residents described living in a street-based survival world characterized by criminalization, unmet health needs, stigma and unsafe spaces for drinking and a world punctuated by multiple losses and disconnections. MAPs disrupt these patterns by providing a harm reduction world in which obtaining accommodation and supports are not contingent on sobriety. MAPs represent a new arena that focuses on reducing harms through provision of safer spaces and supply of alcohol, with opportunities for reconnection with family and friends and for Indigenous participants, Indigenous traditions and cultures. Thus, MAPs are safer spaces but also potentially spaces for healing. CONCLUSIONS: In a landscape of limited alcohol harm reduction options, MAPs create a new arena for people experiencing severe alcohol dependence and homelessness. While MAPs reduce precarity for participants, programs themselves remain precarious due to ongoing challenges related to lack of understanding of alcohol harm reduction and insecure program funding.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.303
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