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Record W3139103577

Adaptação Transcultural e Validação do Questionário de Engajamento Paterno

2018· article· pt· W3139103577 on OpenAlexaff
Carina Nunes Bossardi, Carolina Duarte de Souza, Lauren Beltrão Gomes, Simone Dill Azeredo Bolze, Beatriz Schmidt, Mauro Luı́s Vieira, Daniel Paquette, Maria Aparecida Crepaldi

Bibliographic record

VenuePsicologia Teoria e Pesquisa · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Abstract This study aimed to investigate the internal structure and reliability indices of the Questionnaire d’Engagement Paternel (QEP). It describes the process of cross-cultural adaptation and results of the evaluation of the psychometric proprieties of the instrument. The sample consisted of 300 participants (150 mothers and 150 fathers), who formed two-parent families. The psychometric analyses involved procedures including back translation, factor analysis, and reliability analyses of the instrument. The Brazilian version of the QEP is presented, containing a total of 36 items, divided into five dimensions. Twenty items were excluded, according to statistical and theoretical criteria. The results demonstrated satisfactory evidence of validity of the scale. Considerations regarding limitations of the study and recommendations for use in future research were indicated.

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)0.118
metaresearch head score (Gemma)0.269
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: Methods · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1180.269
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0030.005
Scholarly communication0.0060.006
Open science0.0030.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.338
Teacher spread0.277 · 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
GenreMethods

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

Citations0
Published2018
Admission routes1
Has abstractno

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