Psychosocial Predictors of Taiwanese Secondary Students' Self-Esteem
Bibliographic record
Abstract
This study investigated the relationships between psychosocial factors and self-esteem 1,672 Taiwanese senior high school students (779 boys, 893 girls). Students from Kaohsiung City, Taiwan, completed a Chinese version of the Secondary Student Questionnaire (SSQ), which measures self-esteem, depression, anxiety, stereotyped thinking, personality, and satisfaction with nonacademic performance at school. Students were categorized into four groups: (a) high academic achievement/low self-esteem (HALS); (b) high academic achievement/high self-esteem (HAHS); (c) low academic achievement/ low-self esteem (LALS); and (d) low academic achievement/high self-esteem (LAHS). Results showed that two variables, personality/satisfaction and anxiety, were predictive self-esteem for all four groups. Depression was predictive for all groups except low achievement and high self-esteem (LAHS). Research recommendations and educational implications are discussed.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".