FROM ‘ACTIVE’ TO ‘PRECARIOUS’ AGEING: GLOBALIZATION AND THE RECONSTRUCTION OF THE LIFE COURSE
Bibliographic record
Abstract
Ideas relating to ‘successful’ and ‘active’ ageing have become firmly embedded in research and policy over the past decade. The idea of ‘active ageing’ has been especially prominent in shaping policies towards older people, with a strong emphasis on the link between activity, labor force participation and health and well-being. However, this approach has run alongside the impact of declining social protection and rising levels of social inequality. This paper examines the tension between theories that emphasise productivity and participation on the one side, and a political economy promoting new forms of risk on the other. The paper explores the extent to which the concept of ‘precariousness’ can provide a framework to address the reality of unequal access to the ideals of ‘successful aging’ and the benefits of longevity. The paper provides an assessment of the policy implications of re-framing ageing from ‘active’ and ‘successful’ to ‘precarious’ and ‘insecure’.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".