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"It Is Important for Everyone as Humans to Feel Important, Right?" Findings from a Community-Based Participatory Needs Assessment with Street-Level Sex Workers

2020· article· en· W7093318636 on OpenAlexaboutno aff

Bibliographic record

VenueScholar Commons (University of South Carolina) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsDignitySex workCitizen journalismObservational studySex workersParticipatory action researchWork (physics)Community-based participatory research

Abstract

fetched live from OpenAlex

A community-based participatory research design informed the development and conduct of a needs assessment with street-level sex workers within a mid-sized city in Ontario, Canada. The research question was: What would help street-level sex workers to live with enhanced safety and dignity within their community? Twenty-four women who accessed a peer-driven drop-in center (SafeSpace) participated in in-depth interviews. Observational data of items requested by women who accessed SafeSpace were also documented over a 6-month time period. The overarching theme of relationships was identified as vital to participants' ability to live and work with enhanced safety and dignity in their community. Subthemes included: Informal/formal surveillance: Relationships to public space(s); Nowhere to go for us: Relationships with/in community services; and You're given the time you need: Relationships in a peer-driven drop-in center for/with/by sex workers. Our findings demonstrate how central relationships are, particularly peer, to enhancing or diminishing sex workers' sense of dignity, self-worth, safety, and enhanced their access to services.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.063
GPT teacher head0.298
Teacher spread0.235 · 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.

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
Published2020
Admission routes1
Has abstractyes

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