Globalization, Downsizing and Insecurity: Do We Need to Upgrade Marx's Theory of Alienation?
Bibliographic record
Abstract
Earlier, this author investigated and found wanting popular claims that technical and social organizational changes associated with globalization have now greatly lessened alienation for factory workers in fully industrialized countries. Here he follows up his suggestion that any credible account of globalization must consider increased competition and employment insecurity and their effects upon alienation. Theoretically, decreased security could have made workers more concerned with having any employment at all and less with intrinsically interesting work over which they have control. Nevertheless, research on the 1930s and the current period of downsizing provides much more support for decreased security having further disempowered workers. Demands at work may well have increased more for managers and professionals, but they have also had greater resources for coping with such increased demands. While these new developments suggest that Marx's theory of alienation needs to be updated, they are consistent with its original thrusts.
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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 | 0.002 |
| 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 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".