MétaCan
Menu
Back to cohort
Record W4293065918 · doi:10.3390/socsci11080366

“We Knew No One Else Had Our Back except Us”: Recommendations for Creating an Accountability Care Framework with Sex Workers in Eastern Canada

2022· article· en· W4293065918 on OpenAlexaffabout
Kathleen C. Sitter, Alison L. Grittner, Mica Pabia, Heather Jarvis

Bibliographic record

VenueSocial Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAccountabilityOperationalizationFraming (construction)TransgenderFocus groupPsychological interventionDignityContext (archaeology)Sex workPublic relationsPsychologyNursingPolitical scienceSociologyMedicineGender studiesFamily medicine

Abstract

fetched live from OpenAlex

The authors report findings from a 15-month project that focused on the experiences of sex workers who live and work in an Eastern Canadian province. As part of a larger multi-phased study, 15 adults who identified as women, transgender, or non-binary, and received money or goods for sexual services, participated in photo-elicitation interviews. Drawing on a critical framing analysis, findings indicated supports—as identified and experienced by sex workers—encompassed three categories of care: self, community, and collective. These categories are described, with a particular focus on the latter two. Continuing with the care-based framework, recommendations to structure interventions draw on the role of accountability care in identifying how best to operationalize policies that promote health, well-being, and dignity of Canadian sex workers. The paper begins with a brief overview of the Canadian context and the role of supports. It follows with a discussion on the materials and methods and the results. It concludes with recommendations, limitations, and future considerations.

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 categoriesScience 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 score0.531
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.365
Teacher spread0.311 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueSocial SciencesSame topicSex work and related issuesFrench-language works237,207