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Record W4246634913 · doi:10.22215/etd/2014-10593

On the Separation of Personal and Professional: Sex, Work, Law, The Girlfriend Experience, and The Interpersonal Relationships of Independent Escorts

2014· dissertation· en· W4246634913 on OpenAlexaff
Katherine Van Meyl

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsCarleton University
Fundersnot available
KeywordsAgency (philosophy)Interpersonal communicationSocial psychologySex workPsychologyAffect (linguistics)Emotion workWork (physics)CriminalizationInterpersonal relationshipSociologyMedicineCriminologyCommunicationEngineering

Abstract

fetched live from OpenAlex

I explore the ways in which independent escorts who offer the Girlfriend Experience (GFE) create and maintain boundaries between their personal and professional lives.These boundaries are important for both escorts and their personal partners.Occasionally, some of these boundaries are crossed with certain clients.I also explore how the interpersonal relationships of sex workers affect the spaces in which they work.Most of my participants have been in relationships wherein their partner did not support their work as independent escorts.Often, these workers would transition into agency-based massage to mitigate the intimacy between themselves and their clients, which is perceived as less threatening to their partners.Due to the criminalization and stigmatization of sex work, sex workers who work in these spaces experience barriers to being intimate with clients.Furthermore, they experience adverse working conditions.It is for these reasons that the sex workers I interviewed preferred working independently.

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)0.004
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 score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.012
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.326
Teacher spread0.304 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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