Postgraduate International Students’ Living and Learning Experience at a Public University in British Columbia
Bibliographic record
Abstract
Canada is a rich and diverse country that attracts many international students and immigrants to expand their horizon.According to Statistics Canada (2017), nearly 30% of British Columbia total population speak a mother tongue that is a language other than English.The statistics indicate that besides Caucasian Canadians, other ethnical groups can live in Canada without barriers.Canadian higher education institutions attract many international students for educational and research purposes and provide a welcoming community, due to their well-known educational qualities.Currently, there are 11 public higher education institutions and five private higher education institutions in British Columbia.According to Global Affairs Canada (2016), the international student population has increased significantly.From last decade, the total population of international students has increased from 114,093 in 2000 to 218,245 in 2010.The increasing percentage was nearly 100%.The report also indicated that the student population classified as university students had an 8% of annual growth rate.Based on the above statistics, Canadian higher education institutions are considered as one of the most popular destinations for international students to seek degrees.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".