Worker-Led Dissent in the Age of Austerity: Comparing the Conditions of Success
Bibliographic record
Abstract
The decline of the power of organised labour, which is a central feature of neoliberalism, was compounded during the ‘age of austerity’. Yet, the potentially disruptive agency of workers remains. This article presents a qualitative process-tracing exercise for over 150 prominent episodes of worker-led dissent in the period 2010–2019 in the UK, the results of which are also made available in a website accompanying the article: ‘ Contesting the UK’s neoliberal model of capitalism: worker-led dissent (2010–2019). The article identifies seven configurations of causal conditions that proved sufficient for workers to successfully pursue their stated aims during this period. While ‘standard’ national disputes led by mainstream trade unions were on the whole not sufficient to achieve success during this period, nevertheless a number of alternative combinations of conditions did prove to be sufficient, especially locally-focused campaigns, those undertaken by grassroots ‘indie’ unions and those in the transport sector.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".