The Worldwide Growth of Private Higher Education: Cross-national Patterns of Higher Education Institution Foundings by Sector
Bibliographic record
Abstract
This article investigates cross-national patterns of public and private higher education institution (HEI) foundings from 1960 to 2006. It argues that in addition to national demographic and economic factors, patterns of HEI foundings also reflect world-level models about how nations should structure their higher education systems. Findings document a rapid, recent rise in new private HEIs and point to supranational normative, mimetic, and coercive pressures that have encouraged nations to expand private higher education, including international development aid trends in peer nations, and linkages to intergovernmental organizations. I argue that while the public-sector HEI has been a long-standing and globally legitimated model for national development, private higher education has historically been associated with some world regions but not others. However, over the past two decades, supranational actors and ideas helped legitimate the private HEI as an acceptable model, spreading it even in regions that previously eschewed private higher education.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".