Frontiers of Economics and Globalization
Bibliographic record
Abstract
Citation (2010), "Frontiers of Economics and Globalization", Epstein, G.S. and Gang, I.N. (Ed.) Migration and Culture (Frontiers of Economics and Globalization, Vol. 8), Emerald Group Publishing Limited, Bingley, p. iii. https://doi.org/10.1108/S1574-8715(2010)0000008039 Publisher: Emerald Group Publishing Limited Copyright © 2010, Emerald Group Publishing Limited Book Chapters Frontiers of Economics and Globalization Frontiers of Economics and Globalization Copyright page Dedication About the Series: Frontiers of Economics and Globalization About the Volume: Migration and Culture List of Contributors Preface Chapter 1 Migration and Culture Chapter 2 Informational Cascades and the Decision to Migrate Chapter 3 The Measurement of Income Polarization by Ethnic Groups: The Case of Israel Population Chapter 4 The Effects of School Quality in the Origin on the Payoff to Schooling for Immigrants Chapter 5 Development and Migration: Lessons from Southern Europe Chapter 6 Geographic Dispersion and Internal Migration of Immigrants Chapter 7 Understanding the Wage Dynamics of Immigrant Labor: A Contractual Alternative Chapter 8 Interactions between Local and Migrant Workers at the Workplace Chapter 9 Ethnic Competition and Specialization Chapter 10 Nationality Discrimination in the Labor Market: Theory and Test Chapter 11 Culture, Investment in Language and Earnings Chapter 12 Immigration: America's Nineteenth-Century “Law and Order Problem?” Chapter 13 A Political Economy of the Immigrant Assimilation: Internal Dynamics Chapter 14 Assimilating Under Credit Constraints: Public Support for Private Efforts Chapter 15 Immigrant Networks and the U.S. Bilateral Trade: The Role of Immigrant Income Chapter 16 The Societal Integration of Immigrants in Germany Chapter 17 Who Matters Most? The Effect of Parent's Schooling on Children's Schooling Chapter 18 Intergenerational Transfer of Human Capital under Post-War Distress: The Displaced and the Roma in the Former Yugoslavia Chapter 19 Household Structure of Recent Immigrants to Israel Chapter 20 Circular Migration or Permanent Return: What Determines Different Forms of Migration? Chapter 21 Labor Migration, Remittances, and Economic Well-Being: A Study of Households in Rajasthan, India Chapter 22 Promoting the Educational Success of Latin American Immigrant Children Separated from Parents during Migration Chapter 23 Cultural Differences in the Remittance Behaviour of Households: Evidence from Canadian Micro Data Chapter 24 FSU Immigrants in Canada: A Case of Positive Triple Selection? Chapter 25 What Drives Immigration Policy? Evidence Based on a Survey of Governments' Officials Chapter 26 Changes in Attitudes toward Immigrants in Europe: Before and After the Fall of the Berlin Wall Chapter 27 The Implications of Social Norms on Immigration Policy Chapter 28 Ethnic Fragmentation, Conflict, Displaced Persons and Human Trafficking: An Empirical Analysis Author Index Subject Index
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".