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Record W1606867387 · doi:10.5070/d3212023867

News reports: update on buying indoor uv tanning with university debit cards

2015· letter· en· W1606867387 on OpenAlexaboutno aff
Kiera L Goff, Chanté Karimkhani, Lindsay N. Boyers, Melia D Hernandez, Hannah Pederson, Eryn L. Royer, Robert P. Dellavalle

Bibliographic record

VenueDermatology Online Journal · 2015
Typeletter
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneDebit cardPurchasingMedicineSalonAdvertisingBusinessEnvironmental healthPaymentCredit cardPolitical scienceMarketingFinance

Abstract

fetched live from OpenAlex

BACKGROUND & OBJECTIVE: Indoor tanning by adults under 35 years of age increases the risk of developing melanoma 59% to 75%. Cost is a major barrier limiting young adults from purchasing indoor tanning services. Our recent study by Boyers et al determined that 18 of 96 major universities, all in the eastern and southern United States, had university-sponsored debit cards with indoor tanning affiliations. These debit cards, which conveniently link with student identification (ID) cards, help with student living expenses and are often loaded with money by parents. By creating agreements with indoor tanning salon vendors, universities are endorsing a World Health Organization class I carcinogen. To expand the results of our previous study, we broadened our search to further assess universities in the western United States as well as Australia, New Zealand, Ireland, Canada, and the United Kingdom. METHODS: Using www.collegeboard.edu, we identified the 4 largest residential colleges in Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming. Additionally, we investigated the top international universities, utilizing www.topuniversities.com. Internet searches, phone calls, and email correspondence were used to determine if an institution had a student ID-linked debit card. Universities with affiliations to bank debit cards and cards that could only be used on campus were excluded. RESULTS: In the western United States, indoor tanning merchants were affiliated with University of Arizona, Embry-Riddle Aeronautical University: Prescott Campus, and the University of Denver student debit cards. Of the original 18 schools with affiliations according to the Boyers et al study, 2 universities no longer have agreements and 5 created agreements with additional tanning salons. Of 45 universities examined in our international search, no debit cards were discovered for off-campus purchases. Therefore, the concerning issue of university associations with tanning salons appears to be solely a domestic problem. CONCLUSIONS: Our findings indicate that the formation of financial agreements between universities and tanning salons is an ever-present and growing problem in the United States. Since Boyers et al, we have engaged in outreach efforts with alumni, faculty, administration, and local university cancer centers to terminate university ties with tanning salon vendors. Further advocacy efforts are critical to combat this dangerous association, reduce the frequency of skin cancer, and protect the health of young adults.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0930.060

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 head0.024
GPT teacher head0.271
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2015
Admission routes1
Has abstractyes

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