Attribution and Motivation: Gender, ethnicity, and religion differences among Indonesian university students
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.
Bibliographic record
Abstract
The study explores the possibilities of gender, ethnicity, and religion differences on attributions (locus of control, stability, personal and external control), motivational goals (learning, performance approach, performance avoidance, and work avoidance), self-efficacy, intelligence beliefs, religiosity, racial/ethnic identity, and academic performance (mid-term test, final test, and GPA scores) within the Indonesian university settings. Racial/ethnic identity had three dimensions: private regard, ethnic importance, and social embeddedness; whilst religiosity had two dimensions: religious behaviour and intrinsic religiosity. 1,006 students (73.8% Native Indonesians and 24.8% Chinese Indonesians) from three public and two private universities participated. Significant gender differences were found on work avoidance goals. Ethnic and religion differences were found on religiosity. Gender and religion interactions resulted significant differences on attribution (locus of control), religiosity (intrinsic religiosity), and academic performance (final test score).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it