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Paixão pelo exercício: predição do comportamento ativo e mindfulness durante o distanciamento físico no enfrentamento a covid-19

2024· article· pt· W4401635832 on OpenAlex
Amanda Rizzieri Romano, Maynara Priscila Pereira da Silva, Evandro Morais Peixoto, Karina da Silva Oliveira, Carolina Rosa Campos, Geovana Mellisa Castrezana Anacleto, Bruno Bonfá-Araújo

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

VenueAvances en Psicología Latinoamericana · 2024
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsWestern University
Fundersnot available
KeywordsMindfulnessCoronavirus disease 2019 (COVID-19)PsychologyBiologyPsychotherapistMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Durante o período de distanciamento físico na pandemia da covid-19, a prática de exercício físico apresentou funções essenciais na manutenção da saúde. Esta pesquisa teve como objetivo avaliar o poder preditivo das dimensões da paixão (obsessiva [PO] e harmoniosa [PH]) sobre o tempo de prática durante a semana, o estado de mindfulness na realização do exercício e suas consequências sobre a satisfação com a prática. Participaram do estudo 359 praticantes regulares de exercício de ambos os sexos (67.4 % mulheres), com idades entre 18 e 70 anos (M = 36.6 ± 11.9). Foram empregadas análises de correlação de Pearson e modelagem de equações estruturais. Os resultados evidenciaram que ambas as dimensões da paixão prediziam positivamente o tempo de prática, contudo apenas a PH predizia o estado de mindfulness, o qual predizia positivamente a satisfação com a prática. Os resultados corroboram a literatura sobre o modelo dualístico da paixão ao indicar a PH como uma variável promotora do funcionamento psicológico positivo.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.695
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.036
GPT teacher head0.351
Teacher spread0.315 · 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