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Record W2751434779 · doi:10.1186/s12939-017-0655-2

Sex workers as peer health advocates: community empowerment and transformative learning through a Canadian pilot program

2017· article· en· W2751434779 on OpenAlexafffundabout
Cecilia Benoit, Lynne Belle‐Isle, Michaela Smith, Rachel Phillips, Leah Shumka, Chris Atchison, Mikael Jansson, Charlotte Loppie, Jackson Flagg

Bibliographic record

VenueInternational Journal for Equity in Health · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsCanadian AIDS SocietyUniversity of Victoria
FundersInstitute of Infection and ImmunityCanadian Institutes of Health Research
KeywordsTransformative learningSocial policyPublic healthEmpowermentHealth services researchHealth policyCommunity healthHealthcare policySociologyPolitical scienceInternational healthPsychologyNursingMedicinePedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Social marginalization and criminalization create health and safety risks for sex workers and reduce their access to health promotion and prevention services compared to the general population. Community empowerment-based interventions that prioritize the engagement of sex workers show promising results. Peer-to-peer interventions, wherein sex workers act as educators of their colleagues, managers, clients and romantic partners, foster community mobilization and critical consciousness among sex workers and equip them to exercise agency in their work and personal lives. METHODS: A pilot peer health education program was developed and implemented, with and for sex workers in one urban centre in Canada. To explore how the training program contributed to community empowerment and transformative learning among participants, the authors conducted qualitative interviews, asked participants to keep personal journals and to fill out feedback forms after each session. Thematic analysis was conducted on these three data sources, with emerging themes identified, organized and presented in the findings. RESULTS: Five themes emerged from the analysis. Our findings show that the pilot program led to reduced internalized stigma and increased self-esteem in participants. Participants' critical consciousness increased concerning issues of diversity in cultural background, sexual orientation, work experiences and gender identity. Participants gained knowledge about how sex work stigma is enacted and perpetuated. They also became increasingly comfortable challenging negative judgments from others, including frontline service providers. Participants were encouraged to actively shape the training program, which fostered positive relationships and solidarity among them, as well as with colleagues in their social network and with the local sex worker organization housing the program. Resources were also mobilized within the sex worker community through skills building and knowledge acquisition. CONCLUSION: The peer education program proved successful in enhancing sex workers' community empowerment in one urban setting by increasing their knowledge about health issues, sharing information about and building confidence in accessing services, and expanding capacity to disseminate this knowledge to others. This 'proof of concept' built the foundation for a long-term initiative in this setting and has promise for other jurisdictions wishing to adapt similar programs.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0020.001
Open science0.0030.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.154
GPT teacher head0.534
Teacher spread0.380 · 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

Citations75
Published2017
Admission routes3
Has abstractyes

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