The Global Competition for International Students as Future Immigrants: The role of Ontario universities in translating government policy into institutional practice
Bibliographic record
Abstract
This project examines the implications for the roles and responsibilities of Ontario universities in offering programs and services to international students, given Ontario’s policy imperative to target international students as permanent residents. Through a comprehensive mapping exercise, this project proposes to offer a system wide perspective on gaps in alignment of policy and practice, establish key benchmarks for international student programs and services and propose globally competitive best practices.\nThree main research questions will guide this study: How are provincial and national policies to attract international students as future immigrants acknowledged by Ontario universities in their mission statement/goals/visions and/or strategic plans? What is/are the explicitly and implicitly stated role of the universities in relation to these provincial/national policies? What are the range and types of programs and services offered for international students by Ontario’s universities? How do these programs and services meet the academic, social and professional engagement needs of international students? How do they meet the needs of international students over their student life cycle, in particular post-graduation and employment? What do university staff perceive as factors that facilitate and hinder the transition of international students as future immigrants? What do they perceive as strengths and gaps in their programs and services in supporting international students as future immigrants? How do they think government policies (national/provincial) have impacted the international student experience and international student-oriented services and programs? \nThe project addresses three key policy concerns for Ontario’s higher education system: quality and global competitiveness, student experience and success, educational outcomes and labour market pathways. While the role of universities in preparing students for careers and as citizens is widely recognized, it is seldom clearly articulated, especially for international students. This research project will provide a framework to have informed discussions on institutional policies in the context of changing provincial/national policy environments and the sharing and development of effective good practices. It will contribute to our understanding of how research policy and practice interrelate; how they act upon one other; and how research can get translated into practice.
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.026 | 0.018 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".