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Record W99225764 · doi:10.1093/pch/17.2.89

Banning children and youth under the age of 18 years from commercial tanning facilities

2012· article· en· W99225764 on OpenAlexaboutno aff
Danielle Taddeo, Richard Stanwick

Bibliographic record

VenuePaediatrics & Child Health · 2012
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsInternational agencyEnvironmental healthSkin cancerMedicineAgency (philosophy)Ultraviolet radiationCancer

Abstract

fetched live from OpenAlex

Cutaneous malignant melanoma has increased more than three-fold in the past 35 years. Because damage is cumulative, exposure to ultraviolet radiation early in life elevates a risk that is increased further as individuals use artificial sources of ultraviolet radiation. The full impact and scope of damage caused by year-round indoor tanning may take years to appreciate given the long latency period for most skin cancers. Teenagers are frequent visitors to tanning parlours, with girls being more frequent and sustained users. The tanning industry disputes the World Health Organization's and the International Agency for Research on Cancer's classification of their product as a Class 1 physical carcinogen. Tanning parlours have sought to establish and maintain a client-base among teenagers. Consequently, the Canadian Paediatric Society is joining other prominent health organizations in support of a ban on the use of commercial tanning facilities by Canadian children and youth younger than 18 years of age.

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)0.003
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.035
GPT teacher head0.290
Teacher spread0.255 · 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
GenreCommentary

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

Citations5
Published2012
Admission routes1
Has abstractyes

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