Social class in later life : Power, identity and lifestyle
Bibliographic record
Abstract
There lies a strong body of work emphasising the waning of class influence on ageing lives. Whilst Woodward goes as far as to state that along with race, gender and age are the most salient markers of social difference, the recently published Key Concepts in Social Gerontology includes no mention of class neither in the contents nor index. Nevertheless, the sociology of class is firmly located in, and around, the younger and adult ‘territories’ of the life course. Although lip-service is frequently paid to age as one of a number of bases of stratification, older people remain excluded from sociological studies of class, on the basis that their class-related characteristics are not sufficiently unique to undermine the logic of class analysis. In exceptional circumstances, the class position of older persons is commonly located through their final occupations before retirement. Whilst this strategy may have been valid in the past when most individuals died either before or soon after statutory retirement age, nowadays it is surely limiting to assume that one’s class career terminates with the onset of retirement considering that the latter normally signals the start of a ‘third ‘third age’ phase of life.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".