Bibliographic record
Abstract
This study examined the characteristics of part-time students at the University of Calgary (Alberta, Canada) and Athabasca University (Alberta, Canada), an open admissions undergraduate distance education university. Also called adult students or non-traditional students, part-time students have been viewed as a homogenous group despite marked differences. Universities wishing to serve the needs of part-time or nontraditional students must identify the differentiated needs of persons in these groups, and develop coherent policies and strategies to address the needs of the differentiated sub-sets. At Athabasca University in 1994-95, 58 percent of students were not enrolled in a degree or certificate program and 19 percent were Probationary Program students (had not yet successfully completed nine credits or less). The average student registration was for 1.8 courses per student per year. At the University of Calgary, the average age of part time students has declined from 31.4 to 30.5 years between 1985 and 1995. Female part-time students outnumbered males with a narrowing gap, from 62 percent in 1985 to 58 percent in 1995. Overall, part-time student numbers have declined by 31 percent since 1985 and represent a smaller portion of full-time enrollment. Tables detail statistics on part-time students by
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.014 |
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".