Intranational University Student Mobility: A Case Study of Student Migration and Graduate Retention in Eastern Canada
Bibliographic record
Abstract
While international student mobility has received much examination, intranational student mobility is a lesser-studied area. Data shows that residents of the four Easternmost Canadian provinces are more likely to travel outside of their home province to undertake university studies than other Canadians. Beginning in the mid-1990s, Memorial University of Newfoundland experienced a near ten-fold increase in the enrolment of students from the three nearby Maritime provinces. Previous study of this enrolment trend indicated that the increase was partially driven by Memorial’s lower tuition fees. Guided by the conceptual lenses of student choice frameworks, tuition price sensitivity analyses, and student migration studies, this study was carried out to examine the persistence and graduation rates of the 2010 Maritime student cohort, where they resided following their university studies, and factors influencing their decisions to stay or leave Newfoundland and Labrador. This research primarily relied on university administrative records and participant survey responses. The results showed that almost 40% of the 2010 Maritime student cohort had dropped out two years after their initial enrolment at Memorial and by the sixth year, their graduation rate (45%) was far below the overall graduation rate for Canadian students in undergraduate degree programs (74%). In addition, almost 78% of those who were successfully surveyed in autumn 2020 were no longer residing in Newfoundland and Labrador. While there are limitations to the interpretation of the results, they raise important questions about tuition fee polices and their connection (or not) to population growth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".