MétaCan
Menu
Back to cohort
Record W4319781922 · doi:10.1525/collabra.68028

Binge Eating and Health Behaviors During Times of High and Low Stress Among First-year University Students

2023· article· en· W4319781922 on OpenAlex
Megan Lamb, Howard E. Barbaree

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.

Bibliographic record

VenueCollabra Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsCarleton University
Fundersnot available
KeywordsBinge eatingPsychologyClinical psychologySleep (system call)Binge drinkingStress (linguistics)Physical activityBinge-eating disorderMedicineEating disordersEnvironmental healthPhysical therapyHuman factors and ergonomicsPoison controlBulimia nervosa

Abstract

fetched live from OpenAlex

The current study examined the influence of physical activity and sleep on binge eating during times of typically higher-and lower-stress over the academic year (n=394, Mage=18.6). First-year undergraduate students completed surveys of physical activity, sleep, and binge eating behaviors across four waves spanning the academic year. Results of multilevel models revealed relatively stable binge eating scores across the academic year. We found no robust associations between physical activity or sleep and binge eating during times of high and low stress. Small effects in this study, consistent with other non-clinical samples, highlight that eating behaviors are resistant to change.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.002
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.335
Teacher spread0.315 · 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