Student Attrition from Newfoundland and Labrador's Public College
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
Educators, administrators, and government officials alike are interested in reducing the rate of student withdrawal at Canadian postsecondary institutions. Aside from the loss of financial resources, there are other negative effects associated with early departure from community college or university. This article outlines research into first-semester student withdrawal from engineering technology programs at a campus of the College of the North Atlantic in St. John's, Newfoundland. The research was designed to investigate various aspects of withdrawal of first-semester students enrolled in Engineering Technology programs at the College. The research design incorporated focus groups, interviews, and the collection and statistical analysis of quantitative data. Results of this study showed that 24.9% of first-semester Engineering Technology students withdrew before the winter 2000 semester, and that students' academic difficulties play a significant role in their decisions to withdraw or persist at the College. These results were consistent with Tinto's (1993) Student Integration Model.
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 | 0.003 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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