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Record W2731100869 · doi:10.1093/geroni/igx004.159

PHYSICAL ACTIVITY AND BRAIN HEALTH

2017· article· en· W2731100869 on OpenAlex
Teresa Liu‐Ambrose

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

VenueInnovation in Aging · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhysical activityPublic healthHealth benefitsPsychologyCognitionRandomized controlled trialGerontologyMedicinePhysical medicine and rehabilitationNursingPsychiatry

Abstract

fetched live from OpenAlex

The GCBH convened to examine research focused on the impact of physical activity on brain health. Eight issue specialists representing four continents arrived at consensus statements to summarize the impact of physical activity on brain health: (1) Follow current public health recommendations of 150 minutes of weekly, moderate-intensity aerobic activity and two or more days a week of moderate-intensity, muscle-strengthening activities. In addition to purposeful exercise, lead a physically active lifestyle throughout the day. (2) Identify meaningful and enjoyable ways to increase and maintain physical activity. (3) Incorporate physical activity as a part of a healthy lifestyle to help reduce the risk of cognitive decline, and (4) When focusing on the impact of physical activity on brain health, stakeholders and policy makers should take into account the breadth of scientific evidence (i.e. animal studies, epidemiological studies, and randomized controlled trials) while recognizing the knowledge gaps.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.350

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.035
GPT teacher head0.345
Teacher spread0.310 · 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