On coerced labor : work and compulsion after chattel slavery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Acknowledgments ... vii List of Maps, Tables and Figures ... viii Notes on Contributors ... ix 1 Introduction ... 1 Marcel van der Linden and Magaly Rodriguez Garcia Part 1 Coerced in International and National Law 2 On the Legal Boundaries of Coerced ... 11 Magaly Rodriguez Garcia 3 Slavery: The Legal Tug-of-war between Globalization and Fragmentation ... 30 Nicole Siller 4 Forced and Institutional Change in Contemporary India ... 50 Christine Molfenter Part 2 Convict and Military 5 Forced in Colonial Penal Institutions across the Spanish, u.s., British, French Atlantic, 1860s-1920s ... 73 Kelvin Santiago-Valles 6 Convict in the Southern Borderlands of Latin America (ca. 1750s-1910s): Comparative Perspectives ... 98 Christian G. De Vito 7 `A military necessity which must be pressed': The u.s. Army and Forced Road in the Early American Colonial Philippines ... 127 Justin F. Jackson 8 Foreign Forced at Mitsubishi's Nagasaki and Hiroshima Shipyards: Big Business, Militarized Government, and the Absence of Shipbuilding Workers' Rights in World War II Japan ... 159 David Palmer Part 3 Agricultural and Industrial 9 Coerced Coffee Cultivation and Rural Agency: The Plantation-Economy of the Kivu (1918-1940) ... 187 Sven Van Melkebeke 10 As much in bondage as they was before: Unfree during the New Deal (1935-1952) ... 208 Nicola Pizzolato 11 State-Sanctioned Coercion and Agricultural Contract Labor: Jamaican and Mexican Workers in Canada and the United States, 1909-2014 ... 225 Luis F.B. Plascencia 12 Modern Slave Labor in Brazil at the Intersection of Production, Migration and Resistance Networks ... 267 Lisa Carstensen Part 4 In Lieu of a Conclusion 13 Dissecting Coerced ... 293 Marcel van der Linden Bibliography ... 323 Index ... 369
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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