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Record W2967042265 · doi:10.1177/0886109919868832

Examining Social Service Providers’ Representation of Trafficking Victims: A Feminist Postcolonial Lens

2019· article· en· W2967042265 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAffilia · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpowermentNarrativeReflexivityForegroundingSociologyStorytellingSocial workGender studiesService providerSex traffickingPublic relationsMedia studiesCriminologyHuman traffickingService (business)Political scienceSocial science

Abstract

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As anti-trafficking social service providers (SSPs) facilitate the process of victim recovery and empowerment, they also participate in the dissemination of trafficking-related knowledge to the general public. Drawing on a feminist postcolonial framework, this study sought to examine how anti-trafficking SSPs represent trafficking victims in written narratives published on their organizational websites. Thirty-three narratives were drawn from the websites of 10 New York–based anti-trafficking SSPs. Despite the widespread adoption of a strength-based term, “survivor,” the narratives were found to reinforce a gendered and racialized representation of trafficking victims as sex trafficked women from the “global South” and to (re)produce many “ideal” trafficking victim stereotypes that have been dominating the current discourses of trafficking. A “life transformation” discourse was pervasive, discursively foregrounding the positive impact of the SSPs on trafficking survivors. The findings suggested a need for anti-trafficking SSPs to engage with critical reflection on their positionality and intentionality in representing trafficking victims/survivors and to adopt a survivor-led storytelling paradigm. This study also provided a timely reminder for social work practitioners and researchers to continue to challenge the dominant narratives embedded in their fields of practice, to exercise critical self-reflexivity, and to provide a discursive space for those who have been deprived of voices.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.073
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.317
Teacher spread0.278 · 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