Bibliographic record
Abstract
Global Agendas and Education Reforms: A Comparative Study (2024) is a significant contribution to comparative and international education, examining how global policy imperatives—such as the SDGs, OECD frameworks, and digitalization—are localized within diverse national contexts. Edited by Birol Akgün and Yusuf Alpaydın, the volume traverses fifteen case studies across Africa, Asia, Europe, and North America, exploring tensions between globalization, decolonization, and equity in education. Through detailed empirical research—from Algeria’s postcolonial reforms and Africa’s multilingual schooling to South Korea’s digital leap and Canada’s teacher education internationalization—the book highlights the complexities of balancing global aspirations with local realities. Its methodological diversity, decolonial sensitivity, and open-access accessibility make it a valuable resource for policymakers, educators, and scholars. While uneven in analytical depth, it offers a rich, pluralist framework for understanding how education systems negotiate identity, innovation, and inclusivity in a rapidly changing world.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".