Dispossession and the Anthropology of Labor
Why this work is in the frame
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Bibliographic record
Abstract
■ This article develops an approach to the anthropology of labor that seeks to transcend the North/South and working class/poor oppositions that have long framed our understanding of social inequality. Drawing upon David Harvey's understanding of the ways in which capitalism always creates its own Other through dispossession, as well as historical case studies of struggles against dispossession, we emphasize the mutability of class relations in both the global North and South, and point to the complex interconnections of the social movements of waged and unwaged laborers across the globe. This focus on the connections between peoples who are differently marked by processes of dispossession, we argue, simultaneously enriches our understanding of social inequality and furthers the project of decolonizing anthropology.
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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 | 0.001 | 0.020 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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