MétaCan
Menu
Back to cohort
Record W2119195172 · doi:10.1300/j013v31n01_06

Exotic Dancing and Health

2000· article· en· W2119195172 on OpenAlexaff
Eleanor Maticka‐Tyndale, Jacqueline Lewis, Jocalyn Clark, Jennifer Zubick, Shelley Young

Bibliographic record

VenueWomen & Health · 2000
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHarassmentClubContext (archaeology)Work (physics)PoliticsBalance (ability)PsychologyOccupational safety and healthCriminologySociologyPublic relationsPolitical scienceSocial psychologyMedicineHistoryEngineeringLaw

Abstract

fetched live from OpenAlex

The health and safety of women who work as exotic dancers are firmly embedded within the social organization of the strip club and the broader social, economic and political context of the work of exotic dancing. Exotic dancers in this study expressed health concerns associated with: the effects of costuming and appearance requirements; dirty work environments; problems due to stigmatization, sexual harassment and assault; and police disinterest or victim blaming. The balance between benefits and hazards related to exotic dancing is influenced not only by the personal choices made by dancers, but also by the organization of the strip club and the broader context within which exotic dancing takes place.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.079
GPT teacher head0.391
Teacher spread0.312 · 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 designObservational
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

Citations52
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueWomen & HealthSame topicSexuality, Behavior, and TechnologyFrench-language works237,207