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Record W4401068424 · doi:10.1139/apnm-2024-0200

“But will they do it?” Challenging assumptions and incivility in the academic discourse on high-intensity interval training

2024· review· en· W4401068424 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2024
Typereview
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsHigh-intensity interval trainingIncivilityTraining (meteorology)Interval trainingIntensity (physics)Interval (graph theory)PsychologyComputer scienceApplied psychologyMedicineSocial psychologyPhysical therapyMathematicsPhysics

Abstract

fetched live from OpenAlex

Debate over whether to promote high-intensity interval training (HIIT) in public-health contexts has centred on assumptions that people will have negative psychological responses to HIIT, leading to poor adoption and adherence. We challenge these assumptions through reviews of (1) studies that have measured psychological responses to HIIT and (2) studies that have measured adherence to HIIT protocols in supervised or unsupervised settings. Overall, the evidence suggests that HIIT is just as enjoyable as moderate-intensity continuous training (MICT). In supervised situations, on average, adherence is similarly high for HIIT and MICT (>89%). In unsupervised situations, adherence is similarly lower for both HIIT and MICT (<69%). Based on these findings, we recommend that attention be directed toward improving behaviour-change and maintenance for all types of exercise. Resources are better spent addressing fundamental questions about exercise initiation and adherence, than perpetuating a vitriolic and uncivil debate over the value of HIIT versus MICT. We discuss how debate, incivility, and bullying undermine scientific progress and we issue a call for respectful, civil dialogue in academic HIIT discussions. We conclude with recommendations that can be used by all members of the scientific community to practice, champion, and defend civil discourse.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0010.002
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 head0.119
GPT teacher head0.401
Teacher spread0.282 · 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