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Record W2596570650 · doi:10.15200/winn.148716.63070

Science AMA Series: I’m Martin Gibala, a professor at McMaster University in Hamilton, Ontario. My new book, The One-Minute Workout, considers the new science of time-efficient exercise to promote health and fitness. AMA!

2017· dataset· en· W2596570650 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

VenueThe Winnower · 2017
Typedataset
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScheduleKinesiologySession (web analytics)Interval trainingPhysical therapySports sciencePsychologyMedicineGerontologyMedical educationComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Hi Reddit! I'm Martin Gibala, PhD, professor and chair of the kinesiology department at McMaster University in Hamilton, Ontario. I conduct research on the physiological and health benefits of interval training and how this time-efficient exercise method compares to traditional endurance training. In my decades of study in this field, I've conducted extensive research on the science of ultralow-volume exercise and time-efficient workouts. Inspired by my own struggle to fit regular exercise into a busy schedule, I set out to find the most effective protocols that take up the smallest amount of time, while still offering the benefits of a traditional session at the gym. It became clear that short, intense bursts of exercise are the most potent form of workout available. One of my recent studies, published in PLOS One, found that sedentary people derived the benefits of 50 minutes of traditional continuous exercise with a 10-minute interval workout that involved just one minute of hard exercise. Study participants who trained three times per week for twelve weeks experience the same improvements in key markers of health and fitness, despite a five-fold lower exercise volume and time commitment in the interval group. My new book, The One-Minute Workout, distills complex science into practical tips and strategies that people can incorporate in their everyday lives. It includes twelve interval workouts, all based on scientific studies, that can be applied to a wide range of individuals and starting fitness levels. From elderly and deconditioned people who are just beginning an exercise regimen to athletes and weekend warriors, there is an interval training protocol that can boost health and performance in a time-efficient manner. Ask me anything about the science of exercise and in particular how to incorporate time-efficient training strategies into your day. Signing out for now! Thank you so much for having me and for all your great questions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.271
Teacher spread0.251 · 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