Bibliographic record
Abstract
Social class in Later Life: Power, Identity and Lifestyle advances contemporary debates on class dynamics in later life. Focusing attention on various spheres of class analysis, it provides the most up-to-date collection of emerging research relevant to the relationship between class, culture, and ageing. The book develops an empirical understanding of the interface between social class and later life, with chapters presenting data which demonstrate an inverse relationship between class background and various forms of capital. Social Class in Later Life addresses the paradox that, while many retirees have benefited from the structures and stability of a first modernity, their current circumstances are much more contingent on what Beck calls the ‘side effect principle’, where decisions that affect their situations and opportunities are often the consequences of structures placed well outside their individual agency. Indeed, the coming of late capitalism did not result in the end of traditional forms of inequalities, but only a growth of new inequalities alongside the continuation of traditional social divisions. Chapters highlight how lifelong class dynamics have major implications for ageing policies, and that rather than calling for the class concept to be written off as an artefact of a superseded form of social organisation, it is more sensible that sociologists and gerontologists alike perceive it as a social category in need of considerable re-articulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.563 | 0.381 |
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; the direct Gemma label and the distilled Codex classifier 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".