Transnational Hegemony and US Labor Foreign Policy: Towards a Gramscian International Labor Geography
Bibliographic record
Abstract
In this paper I explore the use of Gramsci's notion of hegemony in analyzing the relationships between US labor unions, the US foreign policy establishment, and workers in the global South. The hegemonic position of US capitalists, in relation to both US workers and states in the global South, heavily conditioned the development of American Federation of Labor–Congress of Industrial Organizations foreign policy during the cold war, with path-dependent effects that have carried over into the post-cold-war era of ‘globalization’. Although recent changes in the relationships between US capitalists and US labor unions have undermined the US ‘labor accord’ that reigned during the cold war, the new, ascendant transnational neoliberal hegemony has not as yet completely transformed the relationships of labor unions in the United States to those elsewhere in the world, which poses ongoing challenges for international labor solidarity, even in a context of new possibilities.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".