The academic adaptation of mainland Chinese doctoral students in education at McGill University /
Bibliographic record
Abstract
This study investigated the academic adaptation of five Mainland Chinese doctoral students in the Faculty of Education at McGill University, Quebec, Canada. Using individual interviewing as the primary research method, the study revealed 12 major challenge areas, i.e., English as a second language, financial difficulties, outsider feelings, worries about career paths, course work, research network, TA/RA experiences, differences between doctoral and master's studies, isolation, pace of the PhD, motherhood and doctoral study, and adjusting research directions. Through comparing the findings with the literature and the data from secondary sources, this study concluded that the academic adaptation of Mainland Chinese doctoral students in Canada is a process in which cross-cultural adaptation intertwines with disciplinary socialization. The study contributes to literature by (1) documenting an under-researched group---PhD students in education from Mainland China in Canada; and (2) looking at academic adaptation through two lenses: cross-cultural adaptation and disciplinary socialization.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".