Higher Education in a Global Society
Bibliographic record
Abstract
Contents: Foreword Roger W. Ferguson, Jr. Introduction Paul J. Yakoboski 1. The Significance of Globalization to American Higher Education D. Bruce Johnstone 2. The Realities of Mass Higher Education in a Globalized World Phillip G. Altbach 3. Higher Education Crossing Borders: Programs and Providers on the Move Jane Knight 4. International Research Collaborations Elizabeth D. Capaldi 5. Offering Domestic Degrees Outside the United States: One University's Experiences Over the Past Decade Mark S. Kamlet 6. Creating Successful Study Abroad Experiences M. Peter McPherson and Margaret Heisel 7. Creating an International Experience on the Domestic Campus Kathleen Waldron 8. The Centrality of Faculty to a More Globally Oriented Campus Patti McGill Peterson 9. Internationalizing the Scholarly Experience of Faculty Diana Bartelli Carlin 10. Bringing International Students to Campus: Who, What, When, Where, Why, and How? Charles E. Phelps 11. Reinventing Higher Education in a Global Society: A Perspective from Abroad Gowher Rizvi and Peter S. Horn 12. American Higher Education in an Increasingly Globalized World: The Way Ahead D. Bruce Johnstone
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.013 |
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".