The Effect of Ethnic Identity and Bilingual Confidence on Chinese Youth’s Self-Esteem
Bibliographic record
Abstract
This study examines the interrelated issues of private and public domains of self-esteem, ethnic identity formation, and bilingual confidence among youth of a minority group in a city in western Canada. One hundred, ten Chinese students aged 11-18 from a Chinese-language school were randomly surveyed. Most items of the instrument are derived from the Rosenberg Self-Esteem Scale, the Cultural-Free Self-Esteem Inventories, and the Multigroup Ethnic Identity Measure. Participants’ self-confidence with the English and Chinese languages is also investigated. Zero-order correlate analysis and a two-way MACOVA controlling for GPA are used to examine potential factors that influence Chinese youth’s global, academic, and social self-esteem. The results confirm the importance of ethnic identity on minority youth’s global self-esteem. Moreover, self-confidence with bilingual proficiency has a great effect on Chinese youth’s global, academic, and social self-esteem.
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 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 | 0.008 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".