RURAL-URBAN LINKAGES AND THE IMPACT OF INTERNAL MIGRATION IN ASIAN DEVELOPING COUNTRIES
Why this work is in the frame
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Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size ACKNOWLEDGEMENTS The authors would like to thank the International Union for the Scientific Study of Population (IUSSP), the International Development Research Centre (IDRC) of Canada (IDRC Grant number: 105447-001), The Asian Development Bank, and Fujian Normal University for their financial support to the seminar in which the early versions of the four papers of the special section were presented. The authors would also like to thank the Australian Research Council (ARC) for its support to the project 'Comparing internal migration in countries around the world: measures, theories and policy dimensions' (ID DP110101363), whose work benefited the preparation of both the special section and the introduction. Notes 1. The four guest editors of this special section are members of IUSSP Scientific Panel on the Impact of Internal Migration and Urbanization in Developing Countries, with Yu Zhu as the Chair. Yu Zhu is Professor of Fujian Normal University in China; Martin Bell is Professor of University of Queensland in Australia; Sabine Henry is Professor of University of Namur in Belgium; and Michael White is Professor of Brown University in USA. 2. Chamratrithirong's review on research on internal migration in Thailand provides an excellent example on such a shift (Chamratrithirong, 2007 Chamratrithirong , A. 2007 . Research on internal migration in Thailand: The state of knowledge . Journal of Population and Social Studies , 16 , 1 – 20 . Retrieved from http://www.migrationcenter.mahidol.ac.th/download/04_Review%20Article_Apichat.pdf [Google Scholar]). 3. Further information on the IUSSP Scientific Panel is available on the IUSSP website at http://www.iussp.org/en/panel/panel-impact-internal-migration-and-urbanization-developing-countries.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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