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Record W7039352244

Mapping the Regulation and Policing of Asian Migrant Sex Workers

2024· dissertation· en· W7039352244 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2024
Typedissertation
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsSex workPunitive damagesSex workersHuman rightsStigma (botany)Vulnerability (computing)Agency (philosophy)Law enforcementParticipatory action researchCitizen journalism
DOInot available

Abstract

fetched live from OpenAlex

Over the last few decades, Asian migrants who work in the sex industry have become the frequent target of police, government, and social service investigations. Indeed, a range of state and nongovernmental organizations have promoted punitive investigations and carceral policies, claiming to act to protect migrants from being trafficked. However, sex workers, sex workers’ rights activists, and critical antitrafficking scholars argue that rather than providing protection, this increased focus on Asian migrants actively produces myriad harms and has negatively impacted these workers’ lives by endangering their health and safety, increasing stigma and vulnerability to abuse and exploitation, and violating their human rights. To date, there is limited research on how the investigations claiming to protect migrant sex workers often turn into criminal, immigration, or bylaw investigations against them. This doctoral study aims to contribute to this small but growing body of knowledge. Informed by critical social work, institutional ethnography, and participatory action research, this project maps how the illegality of Asian migrant sex workers, particularly those who work in massage parlours, is constructed and produced. First-person narratives of Asian women have provided the threads (including the texts, actions, and institutions) for further investigation of how their experiences are shaped and how investigations against them are organized. This study shows how racism, whorephobia, and xenophobia have been embedded in both the laws and policies that coordinate sex and massage work and the way investigations into regulated and unregulated massage parlours have been organized in Toronto, Ontario. This finding helps us understand the ruling relations between law enforcement and the workers, and how the laws, policies, and practices that are intended to protect women who are purportedly “trafficked” instead criminalize and harm Asian migrant workers. This research also shows the autonomy and resiliency of Asian migrant massage and sex workers, revealing how they organize against and resist this injustice. The knowledge developed from this project has been used by sex worker communities in their ongoing efforts to challenge the dominant ideologies and discourses about sex workers and human trafficking. Further, it has contributed to their capacity to investigate institutional processes and, in turn, foster and create progressive institutional and policy change. This dissertation also offers important contributions to critical scholarship, including critical human trafficking studies, abolitionism, and activist scholarship.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.008
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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