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US campus and university debit card policies regarding tobacco and electronic cigarettes

2014· letter· en· W2107470616 on OpenAlexaboutno aff
Lindsay N. Boyers, Chanté Karimkhani, Jennifer R. Riggs, Robert P. Dellavalle

Bibliographic record

VenueTobacco Control · 2014
Typeletter
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsDebit cardCashBusinessCredit cardUniversity campusAdvertisingQuarter (Canadian coin)PaymentFinanceLibrary scienceComputer science

Abstract

fetched live from OpenAlex

A modern advancement of university student identification cards is the ability to load the card with ‘campus cash’, converting it to a debit card that can be used to purchase goods and services at various university-affiliated merchants on-campus and off-campus. Students or, more commonly, parents can load these university debit cards with money. Policies regarding the use and management of these debit cards are institution specific. Some universities allow use of campus cash at off-campus vendors while others limit the debits cards for on-campus use only, such as dining halls and convenience stores. A prior study discovered that 42% of surveyed university students used their university debit card to purchase cigarettes.1 In addition, more than one-quarter million youth who had never smoked a cigarette used electronic cigarettes (e-cigarettes) in 2013.2 This exploratory investigation assessed campus and university-affiliated debit card policies regarding tobacco and e-cigarettes at major American universities. The university debit card policies regarding tobacco products and e-cigarettes at the top 100 universities according …

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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 teacher head, not a consensus.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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