Discursive Power and the Internationalization of Universities in British Columbia and Ontario
Bibliographic record
Abstract
Universities rationalize internationalization according to paradigms that emerge from different contexts. With the advent of internationalization strategies by federal and provincial governments, what effect do government ideas have on Canadian universities? This article evaluates the discursive power of government, and its role in discourse communities pertaining to higher education internationalization. Employing a discursive institutionalist framework and qualitative research design, I evaluated discursive content at 16 Tier 1 and 2 universities in British Columbia and Ontario. The findings indicate that governments have had weak ideational influence over the past decade, especially at universities with a global or nationalorientation. Many of these universities have been undergoing a subtle shift in their internationalization rationales—although not all, and not at the same pace. Yet some Canadian universities have increasingly “looked within” to rationalize internationalization, because their discourse communities are dominated by internal voices more concerned with organizational context than global competitiveness.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.032 | 0.026 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".