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Record W2607446484 · doi:10.1177/1203475417706059

A Cross-Sectional Study of Indoor Tanning in Fitness Centres

2017· article· en· W2607446484 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicinePromotion (chess)Environmental healthSun protectionGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: Ultraviolet (UV) radiation is a human carcinogen and is associated with the development of skin cancer. The promotion of indoor tanning (IT) at fitness centres is of particular concern as it reinforces the idea that a tan is associated with health and fitness. The purpose of this study was to investigate the prevalence of IT in fitness centres, with an emphasis on determining the financial costs, adherence to regulations, and safety precautions. METHODS: Ten cities, representing 9 different Canadian provinces, were chosen for the study. From each province, a minimum of 20 and a maximum of 30 fitness centres were randomly selected from the Yellow Pages website. Each fitness centre was contacted by the principal investigator and inquiries were made from a consumer's perspective. RESULTS: Of the 203 gyms surveyed, 43% (88/203) offered tanning facilities. Of these, 10.23% (9/88) were found to be noncompliant with the provincial IT regulations for age and/or time between tanning sessions. INTERPRETATION: Despite the known risks of IT, not all fitness centres are compliant with provincial legislations regarding IT, and some continue to promote tanning access to minors.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.057
GPT teacher head0.353
Teacher spread0.296 · 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