Personalisation and Austerity in the Crosshairs: Government Perspectives on the Remaking of Adult Social Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Personalisation has now become centre-stage in adult social care and continues to have an enduring level of political commitment and on-going appeal for many disabled people. And yet its roll-out has taken place during a time of austerity where central governments in many neo-liberal countries are re-imagining (read: shrinking) their role in social care provision. This paper reports on findings from an empirical study of relevant government officials from different countries which have advanced personalisation: Canada, England and the US. It reports on their views on personalisation and the remaking of adult social care, and managing expectations for change. Despite the relative success of personalisation, the findings reveal a tempered, cautious account, with respondents aware of the pitfalls and risks inherent in self-led support, government limitations in changing systems and an end to the primary involvement by the state in the creation of a social care market. With this in mind, the study's findings make a strong case for forms of ‘progressive localism’, as imagined by Featherstone et al . (2012), in galvanising local community resources alongside more radical politics in order to make self-led support achieve its desired outcomes on the ground.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it