The Conditions of Movement: a Discussion of Academic Mobility between Two Early Career Scholars
Bibliographic record
Abstract
Abstract Academic mobility is an increasingly crucial topic to the current and future dynamics of doctoral study and the professoriate. Much of the research has focused on US, UK and European contexts. This research explores academic mobility and the manifold issues that arise between the jurisdictions of Canada and the US, in ways that parallel and diversify previous research based on various understandings of mobility. The qualitative perspective is grounded in a reflective narrative approach that enables exploration of powerful themes. The findings indicate that there are costs, tensions and benefits to academic mobility that serve to emphasise specific personal and professional elements to the pursuit of academic life that need explicit articulation. These findings encourage additional scholarly and practical attention to the changing nature of doctoral study and of academic work and life across jurisdictions.
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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 | 0.026 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.063 | 0.060 |
| Scholarly communication | 0.022 | 0.014 |
| Open science | 0.004 | 0.027 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".