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Record W3092864648 · doi:10.1016/j.jshs.2020.09.013

The bold sedentary behavior recommendations in the new Canadian guidelines: are they evidence-based? Response to “Sedentary Behavior Research Network members support new Canadian 24-Hour Movement Guideline recommendations”

2020· letter· en· W3092864648 on OpenAlexaboutno aff
Emmanuel Stamatakis, Adrian Bauman

Bibliographic record

VenueJournal of sport and health science/Journal of Sport and Health Science · 2020
Typeletter
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsSedentary behaviorGuidelinePsychologyMovement (music)Physical activityApplied psychologyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

1 which outlines the new 24-Hour Canadian sedentary behavior guidelines.These guidelines take the perspective of a continuum across the 24-h day, providing a vehicle for discussing physically active time, sitting and other sedentary time, as well as healthy sleep duration.The commentary 1 focuses on the sedentary behavior (SB) recommendations in these guidelines: (1) limiting sedentary time to 8 h per day, (2) limiting recreational screen time to 3 h, and (3) breaking up long periods of sitting as often as possible throughout the day.Support for this perspective was evidenced by a survey of a sample (n = 126, 6% of total) of Sedentary Behavior Research Network (SBRN) members 2 indicating broad acceptance of these SB recommendations. 1 In this response, we put this survey in context and discuss the evidence base underpinning these 3 Canadian sedentary-behavior recommendations.

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)0.012
metaresearch head score (Gemma)0.073
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.988
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.073
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0100.005
Scholarly communication0.0060.003
Open science0.0040.003
Research integrity0.1050.061
Insufficient payload (model declined to judge)0.0120.009

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 head0.222
GPT teacher head0.459
Teacher spread0.237 · 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.

Study designNot applicable
DomainMethods
GenreCommentary

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

Citations9
Published2020
Admission routes1
Has abstractno

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