Bibliographic record
Abstract
In the last few years universities in Canada have seen a noticeable decline in part-time enrollments. This trend has given rise to a number of pressing concerns regarding the needs and aspirations of part-time students and the status and future of part-time study. Unfortunately, these concerns exist against a backdrop of relatively little research on part- time university students, programs, and attendance which is useful for decisions on policy and practice. This paper highlights the results of research which examined part-time programming at Canadian universities and the needs and characteristics of undergraduate student populations with potential for part-time degree completion. It is argued that the mature, working, part-time learner constitutes a distinct nontraditional group, with a distinct set of educational needs and expectations. The findings suggest changes which may be necessary in university functioning in order to better serve these student populations in the future. Results are compared with other recent research and implications for institutional policy and practice are discussed.
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 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 | 0.145 | 0.252 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.013 | 0.033 |
| Scholarly communication | 0.031 | 0.017 |
| Open science | 0.009 | 0.014 |
| Research integrity | 0.018 | 0.015 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".