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Record W2012511086

Desenvolvimento de instrumento para medida dos fatores psicossociais determinantes do comportamento de atividade física em coronariopatas

2010· article· pt· W2012511086 on OpenAlexaff
Roberto Della Rosa Mendez, Roberta Cunha Matheus Rodrigues, Marília Estêvam Cornélio, Maria Cecília Bueno Jayme Gallani, Gaston Godin

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2010
Typearticle
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

"Este estudo teve como objetivo apresentar o desenvolvimento, a análise de conteúdo e da confiabilidade do Questionário para identificação dos fatores psicossociais determinantes do comportamento de atividade física em coronariopatas , baseado na extensão da Teoria do Comportamento Planejado. O instrumento foi submetido à validade de conteúdo, com realização de sua avaliação por três juízes e préteste com cinco sujeitos, até mostrar-se conceitualmente adequado e compreensível aos sujeitos entrevistados. Foi aplicado em 51 sujeitos para a avaliação preliminar da consistência interna, por meio da determinação do coeficiente alfa de Crombach. Foram observados coeficientes alfa de Crombach >0,75 para os constructos Intenção, Atitude, Norma Subjetiva, Autoeficácia e Hábito. O instrumento desenvolvido mostrou evidências de validade de conteúdo e de confiabilidade."

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)0.016
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.340
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations11
Published2010
Admission routes1
Has abstractyes

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