Deprivileging the public sector workforce: Austerity, fragmentation and service withdrawal in Britain
Bibliographic record
Abstract
Abstract The impact of the financial crisis has reignited debate about the scope and scale of public sector restructuring and its consequences for the workforce in Britain. The economic crisis precipitated austerity measures concentrated on expenditure reductions with the intention of reducing the public deficit. Because the public sector pay bill comprises over half of current public spending, achieving deficit reduction has major consequences for the total pay bill and the workforce. This article assesses the restructuring of the public sector and public sector employment relations in Britain and identifies underlying continuities in public sector restructuring over recent decades. Drawing on and repositioning New Labour’s legacy, the Coalition government used the economic crisis to establish a pro-austerity frame that has legitimated deep cuts in public sector employment and involved measures to refashion public sector employment relations. The article considers the consequences of this agenda and responses by trade unions and indicates some of the limits and uncertain prospects for public sector restructuring under conditions of austerity.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".