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Record W2080229626 · doi:10.1177/0743558400151004

Attitude versus Aptitude

2000· article· en· W2080229626 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Adolescent Research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsWestern University
Fundersnot available
KeywordsCounterintuitivePsychologyHuman capitalAptitudeAcademic achievementSurpriseSample (material)Predictive validitySet (abstract data type)Intelligence quotientMathematics educationDevelopmental psychologySocial psychologyCognitionComputer science

Abstract

fetched live from OpenAlex

This longitudinal study explores the relationships among a set of student input and environmental throughput variables in predicting output human capital skills acquisition and academic achievement at a large Canadian university. The framework for exploring these relationships is referred to as the integrated paradigm of student development. To our surprise, it was found that the input intelligence quotient was negatively related to output human capital skills and to various measures of adjustment to this university setting. In contrast, a measure of input motivation for personal and intellectual development best predicted output skills acquisition and academic achievement, independent of intelligence quotient. Although these counterintuitive findings may be sample- and university-specific, the instrument package representing the integrated paradigm of student development appears to provide a useful diagnostic battery for evaluating how well different types of students make the transition to different types of university settings.

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)0.015
metaresearch head score (Gemma)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.508
GPT teacher head0.607
Teacher spread0.099 · 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