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Record W3120400504 · doi:10.1123/jsep.2020-0177

The Believability of Exercise Blogs Among Young Adults

2021· article· en· W3120400504 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsMisinformationPsychologyReading (process)Social psychologyContent (measure theory)Applied psychologyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

It is unknown how lifelong digital media users such as young adult women perceive exercise information found online. A total of 141 women aged 18-30 years and residing in Canada were randomized to read either a factually incorrect or a factually correct blog article. Participants completed Go/No-Go tasks to measure automatically activated believability and evaluations and questionnaires to explicitly measure believability, affective evaluations, and intentions to exercise. Participants did not show evidence of automatically activated believability of the content found in either blog article. However, participants reading the factually correct article reported significantly greater explicit disbelief than those reading the factually incorrect article, though this did not predict intentions. Being factually correct may not be an important component of message believability. Exercise professionals need to remain aware of the content of popular online sources of information in an effort to curb misinformation.

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)0.001
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 score0.101
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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