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Record W2616772669 · doi:10.3389/frym.2017.00020

Get Off the Couch! Exercise Your Way to a Healthy Brain

2017· article· en· W2616772669 on OpenAlex
Lindsay S. Nagamatsu

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

VenueFrontiers for Young Minds · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsWestern University
Fundersnot available
KeywordsBrain activity and meditationPhysical activityNeuroplasticityPsychologyHippocampusMedicineNeurosciencePhysical medicine and rehabilitationElectroencephalography

Abstract

fetched live from OpenAlex

We all know that physical activity is good for the heart and lungs, but is it also good for the brain? Research has shown that regular physical activity can boost brain performance in various different kinds of people, from children and young adults to older adults at-risk of developing Alzheimer’s disease. These improvements in brain performance can be measured by tests of memory, thinking, and attention. It is thought that physical activity improves brain performance by changing both the way the brain functions and its size, a process known as neuroplasticity. In particular, physical activity may increase the size of a part of the brain called the hippocampus—the brain’s memory center. Importantly, the benefits of physical activity on the brain are seen at all ages, which means it is never too late to start exercising to help the brain. This research shows that being physically active may be an enjoyable way to help you improve your grades at school now and to keep your brain healthy throughout your life.

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)0.000
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.316
Teacher spread0.274 · 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