Bibliographic record
Abstract
With its comprehensive coverage and quality this provocative book is concerned with the future of developing countries in Africa, Asia and Latin America. By providing in-depth analysis of the economic, social and educational challenges of emerging states it offers an alternative roadmap to development. The authors in this collection substantiate the notion that emerging states often do not participate in policy choices related to their development when faced with universalization of curriculum and internationalization of education. The authors make explicit the direct and indirect effects of globalization on educational systems, social equity, and the path of development. In demonstrating the impact of neoliberalism or market-based reforms on the developing world, the authors show that education without human rights is vulnerable to negative forces of globalization and internationalization. The message of the book is quite pessimistic about possibilities to widen the economic space or increase freedom, unless development cooperation is made possible by “Helping People Help Themselves” as suggested by David Ellerman. The authors note that in the past, the issue of emerging states as an appendage to the world economy was a fundamental question related to colonialism, but now has become a question of imperialism which needs to be examined when considering the current patterns of development. .
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".