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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 OpenAlexaboutno aff

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.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.147
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0450.013
Scholarly communication0.0060.002
Open science0.0030.013
Research integrity0.0030.006
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 head0.384
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

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

Citations0
Published2025
Admission routes1
Has abstractyes

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