International Organizations and Higher Education Policy: Thinking Globally, Acting Locally?
Bibliographic record
Abstract
Section 1: Introduction: The history and influence of multinational/regional organizations and regimes (all terms will be explained and defined) on higher education Section 2: Multilateral Organizations/Regimes: Chapter 1: UNESCO: Worldwide and regional scopes (Potential author: Stamenka Uvalic-Trumbic, UNESCO) Chapter 2: UNESCO: A critical revision on its influence in higher education (potential author Alma Maldonado-Maldonado, Univ. of Arizona) Chapter 3: OECD: Programmes, Centres, and other bodies investigating issues related to higher education (potential author Stephan Vincent-Lancrin, OECD) Chapter 4: OECD: Mechanisms of influence and critical analysis of its impact in higher education (Potential author: Miriam Henry, Queensland University of Technology, Red Hill, Australia) Chapter 5: The World Bank: Its role in higher education since 1944 (Likely authors: Jamil Salmi & Rick Hopper, The World Bank) Chapter 6 The World Bank and its higher education initiatives: A critical view (Potential author: Joel Samoff, Stanford University) Chapter 7: The WTO: Higher education possibilities (Potential author: Jane Knight, OISE, Toronto) Chapter 8: The GATS: Current debate and situation (Likely author: Roberta Malee Bassett) Chapter 9: International organizations and bilateral aid: National interests and transnational agendas (Likely authors: Brendan Cantwell and Alma Maldonado-Maldonado, University of Arizona,) Section 3: Regional Actors: Chapter 10: Asia/Oceana (Potential author: Simon Marginson, University of Melbourne) Chapter 11: Europe (Potential author: Pedro Lourtie, Instituto Superior-Lisbon) Chapter 12: Latin America (Potential author: Carmen Garcia-Guadilla, Center for Development Studies, Central University of Venezuela) Chapter 13: Africa (Likely author: Damtew Teferra, The Ford Foundation and The Journal of Higher Education in Africa) Chapter 14: Inter-American/Asian/African Development Bank (Potential author: Suganya Hutaserani, Asian Development Bank) Chapter 15: Regional Banks in the shadow of the World Bank: A critical examination Chapter 16: Regional initiatives: Balancing local priorities or legitimizing global influences? Section 4: Internationally/Regionally Active Foundations: Chapter 17: Foundations sponsoring higher education initiatives and individuals (Potential author, Daniel Levy, SUNY Albany) Chapter 18: Altruism, interventionism or cooperation? Analytical discussion on Foundations supporting higher education Section 5: Conclusions: Between the NGO's, international organizations and corporations, where are the Nation-States?
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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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.036 | 0.039 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.016 | 0.014 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".