The Worldwide Growth of Private Higher Education: Cross-national Patterns of Higher Education Institution Foundings by Sector
Why this work is in the frame
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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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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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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