23. Teaching Experience Preferred?” Preparing Graduate Students for Teaching Opportunities Beyond North America
Bibliographic record
Abstract
Over the last 15 years, graduate students applying for academic positions in post-secondary education have increasingly been asked to include a statement of teaching interests, a teaching philosophy, or a teaching dossier with their applications. Even if a potential employer does not request any of these documents, many interviewees are expected to be able to reflect and articulate intelligently about their teaching philosophy in a job interview and/or to demonstrate their teaching. In Canada and the United States, research has shown that hiring committees are looking for candidates that not only have teaching experience, but who can also talk about and demonstrate their teaching (Meizlish & Kaplan, 2008; Schonwetter, Taylor, & Ellis, 2006). However, what types of teaching documentation are required of applicants when they are applying for entry-level academic positions outside of North America? Especially as developing countries are increasingly seeking Canadian faculty for their experience in student-centered pedagogical approaches (Tamburri, 2011). In addition, North American graduates are searching global markets for further career opportunities. An investigation was launched to examine permanent, tenure-track academic positions on six job sites during a four-month period to compare requests for teaching-related materials and teaching experience in job ads beyond North America. This study found that the international job market is comparable to the North American one with respect to teaching expectations and documentation. These findings underscore the importance of graduate student teaching development for those graduates seeking academic employment outside of North America.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".