Chinese International Student Perspectives of their BC Offshore School Experience
Bibliographic record
Abstract
British Columbia (BC) offshore schools are one of the many types of foreign curriculum programs available to students in China. Although these schools have been delivering the BC provincial curriculum and conferring high school diplomas for twenty years, little research exists regarding the perspectives of students who have graduated from these schools. Chinese students comprise the largest cohort of international students in Canadian universities, and a number of them are graduates of Canadian curriculum offshore schools in China. The perspective and interpretation of their offshore school experiences and transition to Canadian universities is therefore worthy of study. The ongoing qualitative multiple-case study reported on in this presentation concentrates on five recent graduates from three types of BC offshore schools. It has provided insights into how these students perceive and represent their educational experience in foreign curriculum schools and how these schools influence their transitions to Canadian universities. Drawing on a sociocultural theoretical framework, the sources of data for this study include semi-structured interviews, journal responses, and course-related document analysis. The findings from this project will provide useful insights for any educators who are involved with international education or Chinese international students in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".