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Record W2113086032 · doi:10.1037/0022-0663.95.1.84

Children's autonomy and perceived control in learning: A model of motivation and achievement in Taiwan.

2003· article· en· W2113086032 on OpenAlexaff
Hsiao d’Ailly

Bibliographic record

VenueJournal of Educational Psychology · 2003
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyAutonomyNeed for achievementAcademic achievementPerceived controlSocial psychologyControl (management)Developmental psychologyMathematics education

Abstract

fetched live from OpenAlex

A model of motivation and achievement was tested with data from 50 teachers and 806 Grade 4-6 students in Taiwan. Autonomy as a construct was shown to have ecological validity in Chinese children. The proposed model fit the data well, showing that maternal involvement and autonomy support, as well as teachers' autonomy support, are important for children's autonomy and perceived control. Without the mediation of perceived control, autonomy had a small negative effect on performance; controlling for perceived control, external motivation orientation was a positive predictor for Chinese children's effort and performance. The teachers' reported motivating style, as construed in Western research, does not correspond with Chinese children's perceptions of their teachers nor does it have any relationship with their motivation measures. (PsycINFO Database Record (c) 2018 APA, all rights reserved)

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.323
Teacher spread0.299 · 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 designObservational
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

Citations161
Published2003
Admission routes1
Has abstractyes

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