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Record W6998807218

Beauty work, race and age in strip clubs: a case study from Atlantic Canada

2017· other· en· W6998807218 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyPrivilege (computing)Race (biology)EthnographyRacismPower (physics)Racial hierarchyHierarchyDiversity (politics)Club
DOInot available

Abstract

fetched live from OpenAlex

This MA thesis aims to address the gap in research about how beauty work in the strip trade is influenced by popular ideas about race, age, and gender. It documents in detail the beauty work practices of a small sample of women in the strip trade industry in Atlantic Canada. Using ethnographic fieldwork; observation; and focused, unstructured interviews, the thesis is consistent with Ronald Weitzer’s “polymorphous paradigm,” which emphasizes the diversity of personal experiences and power relations by people in erotic entertainment. This study of strippers’ challenges, experiences, and strategies found that: (1) many of the women interviewed were not fully aware of the amount of money and time they devoted to keeping or improving their appearances; (2) the beauty work performed by interviewees reveals both subtle and blatant prejudices with respect to race, age, and gender which defends and privileges traditional Eurocentric values of whiteness, youth, and femininity; (3) it is suggested, although it cannot be conclusively proven with a small sample, that race (not age) is the primary factor determining opportunities to work in the strip trade in Atlantic Canada. The interviewees had different levels of job satisfaction, self-esteem, and experiences of blatant and subtle racism and colorism. It is argued that the workplace culture of the strip club called “Pearls” operates to defend, enforce, and maintain traditional Eurocentric values which privilege and reproduce a hierarchy of desire in which whiteness is at the top. Consequently, race operates as one of the primary principles by which the relationships between the management, strippers, and clientele are organized.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.040
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0360.006
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.267
Teacher spread0.231 · 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
Published2017
Admission routes1
Has abstractyes

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