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Record W7112417740

Breaking Bread, Building Hope: An Eight-Year Partnership Addressing the Toxic Drug Crisis in British Columbia

2025· preprint· W7112417740 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

VenueSocArXiv (OSF Preprints) · 2025
Typepreprint
Language
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipEmbeddednessPraxisParticipatory action researchContext (archaeology)Community-based participatory researchCitizen journalismFlexibility (engineering)
DOInot available

Abstract

fetched live from OpenAlex

Research that purports to engage communities has become more mainstream, presenting an imperative to thoughtfully engage ethical principles that grapple with on-the-ground complexities of the work. Here we reflect on learnings from an eight-year, community-based participatory research (CBPR) partnership in British Columbia, Canada that addressed the ongoing public health emergency of toxic drug-related deaths in a semi-urban and rural setting. This challenging research context provides a methodological petri dish from which to examine common ethical challenges inherent in CBPR work. Here we discuss how praxis aligned with the concepts of relationality, embeddedness and embodiment contain both tension and promise in complex research contexts. We depict how relational authenticity was facilitated by flexibility and informal interactions and was further enhanced by deeply-engaged, physical presence that enkindled hope even when hope was hampered by limited agency. We also present commensality as a promising methodological tool.

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)0.067
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0670.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0040.003
Scholarly communication0.0090.002
Open science0.0070.007
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0220.002

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 head0.384
GPT teacher head0.537
Teacher spread0.153 · 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