MétaCan
Menu
Back to cohort
Record W2103416050

Diet vs Sugar-Sweetened Soda Preferences and Attitudes in a Sample of Adolescents

2010· article· en· W2103416050 on OpenAlexaff
Nathaniel Etheridge Frank-White, Erica Frank

Bibliographic record

VenueThe Open Pediatric Medicine Journal · 2010
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSugarAdded sugarSugar consumptionObesityConsumption (sociology)Environmental healthTastePreferenceMedicinePsychologyPublic healthFood scienceChemistryEndocrinologyEconomicsSociology
DOInot available

Abstract

fetched live from OpenAlex

North American adolescents' consumption of sodas is of concern in the face of the obesity epidemic. We wished to determine if their perceptions about sugared and diet sodas were reflected in their blinded preferences. Our n=194, with an average age of 15.2 years, and a response rate of 97%. Among respondents, 3% stated that they strongly preferred diet soda, 3% somewhat preferred diet soda, 37% strongly preferred sugar-sweetened soda, 27% somewhat preferred sugar-sweetened soda, and 30% had no preference between diet and sugar-sweetened soda. The average rating for sugar-sweetened soda was 5.9 vs 5.1 vs diet sodas. The r2 was 0.034 (p=0.73) between actual sugar content and taste rating. Public health campaigns that wish to convert adolescents from sugar-sweetened to diet sodas would do well to lessen adolescents' concerns about health risks of diet sodas, and manufacturers might consider that adolescents seek tastes in soda beyond merely sugar consumption.

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)0.002
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.330
Teacher spread0.290 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueThe Open Pediatric Medicine JournalSame topicConsumer Attitudes and Food LabelingFrench-language works237,207