Nontraditional student withdrawal from undergraduate accounting programmes: a holistic perspective
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
A collaborative project of several Quebec universities, this study investigates nontraditional student withdrawal from undergraduate accounting programmes. A nontraditional student is older than 24, or is a commuter or a part-time student, or combines some of these characteristics. Univariate and multivariate analyses of student dropout factors were performed. A logistic regression for full-time students indicates several significant determinants of student withdrawal: returning to school after working for some time, enrolment in a non-first choice programme, dissatisfaction with programme choice and courses, and low grade point average (GPA). For part-time students, low GPA is the main explanatory factor for student withdrawal. Other factors appear to be instrumental in withdrawal decisions, such as management of external resources (time and family responsibilities) for women. The results suggest that students would benefit from university support services to acquire learning strategies that improve perseverance. Lastly, in-class learning activities that help bolster grades could decrease student withdrawal rates.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it