Bibliographic record
Abstract
This book provides a comparative and transnational examination of the complex and multifaceted experiences of anti-labour mobilisation, from the bitter social conflicts of the pre-war period, through the epochal tremors of war and revolution, and the violent spasms of the 1920s and 1930s. It retraces the formation of an extensive market for corporate policing, privately contracted security and yellow unionism, as well as processes of professionalisation in strikebreaking activities, labour espionage and surveillance. It reconstructs the diverse spectrum of right-wing patriotic leagues and vigilante corps which, in support or in competition with law enforcement agencies, sought to counter the dual dangers of industrial militancy and revolutionary situations. Although considerable research has been done on the rise of socialist parties and trade unions the repressive policies of their opponents have been generally left unexamined. This book fills this gap by reconstructing the methods and strategies used by state authorities and employers to counter outbreaks of labour militancy on a global scale. It adopts a long-term chronology that sheds light on the shocks and strains that marked industrial societies during their turbulent transition into mass politics from the bitter social conflicts of the pre-war period, through the epochal tremors of war and revolution, and the violent spasms of the 1920s and 1930s. Offering a new angle of vision to examine the violent transition to mass politics in industrial societies, this is of great interest to scholars of policing, unionism and striking in the modern era.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.954 | 0.847 |
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".