Worker Resistance in Digital Capitalism| Worker Resistance in Digital Capitalism—Introduction
Bibliographic record
Abstract
Recent debates on media activism and digital labor suggest an urgency to examine the intersection of these two lines of inquiry—namely, how workers counteract and resist digital capitalism. This Special Section approaches the question through a set of studies into the old and new challenges facing workers in a wide range of sectors and in different parts of the world. It examines the mundane and novel tactics adopted by workers for collective action, solidarity building, and the construction of alternatives to the prevailing narratives of digital capitalism. Overall, this article argues that struggles cannot be separated from the local manifestations of the structural constraints that underpin digital capitalism: postcolonial conditions, local economic regimes, global division of labor, normative perceptions of certain jobs, institutional privileges or barriers, and the identity of the workers themselves. These situated struggles, however, animate multiple sources of solidarity that have the potential to cross such lines.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.005 | 0.020 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".