A Comparative Study Examining Academic Cohorts with Transnational Migratory Intentions Towards Canada and Australia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This research examines the issue of transnational academic mobility of academic staff, those choosing to migrate to higher education institutions in different countries as part of their career development, and performs a comparative study between the characteristics of academics examining Australia as a possible migratory destination with those considering Canada. A combination of Google Analytics and two online questionnaires, running in parallel for a period of 12 months, were employed in capturing a range of rich primary quantitative and qualitative research data. Quantitative web analytics data is analysed to locate the geographic origins of migratory interest, with qualitative survey data providing further insight into the academics' background, qualifications, disciplines and reasons for wanting to migrate. When combined, this mixed‐method approach is able to utilise the merged data to develop a detailed profile of academics with migratory intentions towards Australia and Canada, enabling comparisons between the two cohorts to be made.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it