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Record W2921786926 · doi:10.1108/ijssp-01-2019-0017

“Don’t look down on us!”

2019· article· en· W2921786926 on OpenAlexaff
Glenn Miles, Olivia Blasé, Katie Clark, Rachel Ding, Theresa Geyer

Bibliographic record

VenueInternational Journal of Sociology and Social Policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOriginalityEntertainmentFocus groupPsychologyMassageStigma (botany)Qualitative researchSocial psychologySociologyCreativityMedicinePolitical scienceSocial scienceAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

Purpose Although some research has been done with entertainment workers in KTV bars, little has been done to gain a qualitative understanding of the vulnerabilities of masseuse women. This is due to a prevalent focus on girls under 18 years, thereby excluding most masseuses. The paper aims to discuss these issues. Design/methodology/approach In total, 98 female participants completed an interview answering both open and closed questions concerning relationships, stigma and discrimination and personal sexual abuse among other topics. Findings This study finds that many women working in the massage parlor industry are vulnerable to various threats, including sexual exploitation and abuse. Dependency structures within the massage parlor as well as with their families seem to play a key role in the life situations that can be positive as well as negative, and in some cases both. Social implications The findings provide a baseline evaluation of the vulnerable conditions of the massage industry for women in Cambodia. Specifically, that stigma, discrimination, physical and sexual abuse, as well as a lack of access to education are all vulnerabilities not commonly covered, especially with adult women working in the entertainment industry. This research has been adapted from the original transcript “Strive, No Matter What” (Miles et al. , 2014). Originality/value The paper seeks to understand the reality of life and vulnerabilities as perceived by Phnom Penh’s female masseuses in the lower-priced massage parlors which is largely unknown.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.358
Teacher spread0.343 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2019
Admission routes1
Has abstractyes

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