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Record W2548231438 · doi:10.1177/1948550616675667

Academic Success of “Tiger Cubs”

2016· article· en· W2548231438 on OpenAlexaff
Hsiang-Yi Wu, Franki Y. H. Kung, Hsueh‐Chih Chen, Young-Hoon Kim

Bibliographic record

VenueSocial Psychological and Personality Science · 2016
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyAcademic achievementIntelligence quotientContext (archaeology)Developmental psychologySelf-controlLongitudinal studyControl (management)Latent growth modelingCognition

Abstract

fetched live from OpenAlex

Studies in the United States have shown that self-control can predict academic performance beyond intelligence quotient (IQ), which also explains why girls (vs. boys) tend to have higher grades. However, empirical evidence is scarce; moreover, little is known about whether these effects generalize to other cultures. To address these limitations, we conducted a 2-year longitudinal study in Asia and examined the effects of self-control, IQ, and gender on students’ academic achievement over time. Specifically, we first measured 195 Taiwanese seventh grades’ self-control and IQ, and then traced their overall grades over four school semesters. Latent growth curve model analyses suggest that IQ predicted students’ initial academic performance more strongly than self-control; however, self-control—but not IQ—predicted students’ academic growth across the four time points and explained girls’ higher grades. Overall, the findings support the argument that self-control has unique long-term benefits academically and provide initial evidence outside of the North American context.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.217
GPT teacher head0.516
Teacher spread0.300 · 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 teacher head, not a consensus.

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

Citations8
Published2016
Admission routes1
Has abstractyes

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