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Record W3210044375

Exploring Politics, Practices, and Discourses of Harm Reduction in the Overdose Crisis: the Case of the Tenant Overdose Response Organizers and the “Therapeutic Riskscape”

2018· dissertation· en· W3210044375 on OpenAlexaboutno aff
Magnus Nowell

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsnot available
Fundersnot available
KeywordsHarm reductionPoliticsHarmDrug overdosePolitical scienceCriminologyMedicineMedical emergencyPsychologyPoison controlLawPublic healthNursing
DOInot available

Abstract

fetched live from OpenAlex

Harm reduction, its aspirations, politics, and discourses, have changed dramatically since its origins as a grassroots, drug user-led movement in Canada. Public health played a critical role in helping implement harm reduction, but in doing so has aligned it in ways that have accommodated neoliberal priorities and technocratic discourses, thus contributing to its depoliticization as a social movement. By absconding from meaningfully attending to social determinants of health, which underlie drug-related harm in favour of risk-mitigating individual approaches, public health’s implementation of harm reduction has fallen short in challenging social injustices and inequities at the root of Canada’s legacy of drug criminalization. The arrival of fentanyl and the overdose crisis in Vancouver’s Downtown Eastside (DTES) has proven to be a turning point in this history by leading marginalized tenants of privately-owned single room occupancy (SRO) hotels to organize overdose response for one another. In December 2016, the Downtown Eastside SRO Collaborative Society, a housing advocacy organization, partnered with public health to develop the Tenant Overdose Response Organizers (TORO) program, which uses community organizing to support these efforts. Through participant observation and key stakeholder interviews undertaken between November 2017 and April 2018, this research explores harm reduction’s politics, practices, and discourses through a case study of the novel, peer-led TORO program. I found that despite the hesitancy of public health to support housing advocacy as a critical component of harm reduction, TORO has supported SRO tenants in their responses to oppressive physical, social, and structural environments. My analysis of the work of TORO within the broader context of the DTES has also supported the development of the “therapeutic riskscape” as a theory that attempts to provide an approach to harm reduction that recognizes the recursive relationship between community-driven responses to structural environments and relational experiences of place-based healing.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.114
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.295
Teacher spread0.256 · 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 teacher head, 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

Citations1
Published2018
Admission routes1
Has abstractyes

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