Deciphering International Education Leadership: A Narrative Inquiry of Senior International Officers in Canada
Bibliographic record
Abstract
Internationalization is a key strategic agenda for post-secondary institutions. Its complexed connotations and the outbreak of the COVID-19 pandemic both underpin the significance of a robust international education leadership in place that enables one to navigate uncertainties and ambiguities of the internationalization terrain. Framing leadership as a dynamic and contextual construct, this qualitative narrative inquiry aims to explore the life and professional experiences of senior international officers in leading internationalization initiatives from post-secondary settings in Canada. Findings of this study shed light on the leadership becoming of senior international officers, who play central roles in charting institutional internationalization initiatives. This study aims to amplify the voices of senior international officers and contribute to the sense-making of international education leadership within the higher education community. Inspired by the life and professional stories of these frontline international education leaders, suggestions are made on a) the professional development of international education leadership, b) the consideration behind internationalization governance structure, and c) the new internationalization possibilities at a post-pandemic era.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.042 | 0.021 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| 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".