Exploring the social interactions between international and Canadian students at Sir Wilfred Grenfell College
Bibliographic record
Abstract
There are several benefits associated with the social interaction of international and domestic post-secondary students. Social interactions can assist international students with their adjustment to a new environment and can encourage two-way learning about different cultures, global issues and lifestyles. -- This study explored the current state of social interactions between international and domestic students studying at Sir Wilfred Grenfell College. In-person interviews were conducted with 16 international students and 12 domestic students to gain a deeper understanding of what social interactions are occurring on campus; what benefits are being realized as a result of social interactions; what students perceive as being potential benefits; what adjustment concerns international and domestic students experience; and whether domestic students have an understanding of the adjustment concerns experienced by international students. -- Social interaction between international and domestic students does appear to be happening at Grenfell, although several domestic students would like to have more interaction. Also, it was identified that although some benefits are being realized, there could be a greater cultural exchange- students feel that there is not a high degree of learning occurring as a result of social interactions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".