Selling postsecondary education: the role of private vocational and career colleges
Bibliographic record
Abstract
Private Career Colleges (PCCs) exist under a number of business models: incorporated businesses, sole proprietorships, and registered partnerships. Overall, enrollment in these institutions totals approximately 125,000 full- and part-time students. Students attending these institutions pay fees that, for some programs, are considerably higher than the annual tuition at most community colleges or universities. Two notable features of PCCs as distinct from other institutions of higher education are of particular interest. First, they are subject to extensive and detailed regulations established by each province and territory. Second, they do not receive any direct funding from provincial governments, although their students may borrow from the same government agencies that [lend] money to university and community-college students. This commentary examines the importance of this sector for higher education in Canada and its operational platform, reviews briefly the regulatory framework within which these schools currently operate, and compares and contrasts this sector with other higher education sectors in terms of its contribution to society and individual welfare. Based on this analysis, a case will be made for changes in how this sector is regulated and for increased provision of public support.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.024 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.028 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".