Equity in International Education: An Authoethnographic Exploration of Intercultural Competence and the Experiences of International Students in Canada
Bibliographic record
Abstract
Canada's government and universities have been successful in placing Canada as a top competitor in the international education global market.These efforts have caused significant increases in the numbers of international students choosing Canadian universities today.As a result, universities in Canada are facing an equity dilemma, balancing their structures, policies, and processes, with their responsibility to international students.Through an autoethnographic account of international student stories in a Canadian university, this thesis addresses the opportunities for equity, in developing the intercultural competence of universities.These student experiences of Canada's academic culture, university support services, and financial policies, constitute critical areas of inequity in international student success.By increasing the effectiveness of those facing and managing the intercultural barriers experienced by international students, universities can improve equity within international education in Canada.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.049 | 0.018 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".