Bibliographic record
Abstract
Earning Citizenship in the Country of Extreme Old AgeSocietal debates about age, it could be argued, have a medical and a cultural underpinning, but they also have an economic dimension.To the extent that old age is seen to be accompanied by the inevitable onset of illness and disability, it may also come to be associated with being a financial burden on the health care system, and thus, ultimately, society at large.It is in this sense that the desire to live into extreme old age may come to be construed as a selfish desire; individual selffulfillment, from this perspective, will be seen as an act that ultimately strains the solidarity of the health care and social system (Katz 13).As Higgs and Gilleard observe, the representation of "aging societies" has often been accompanied, in both political rhetoric and cultural imagination, with an "apocalyptic" rhetoric.In a study of Canadian newspapers, they write, it could be observed how "the apocalyptic demography / intergenerational conflict theme was manifested in the discussion of seniors in the role of clients of the health care and social security systems.The older the seniors of both genders were, the more likely they were to be portrayed as dependent on the social security system.Similarly, concern about the sustainability of an adequate health care system highlighted the 'tough choices' necessary to deal with the needs of an aging population."( 58)
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.027 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| 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".