Social Policy on Ageing: The Case of âActive Ageingâ as a Theatrical Metaphor
Bibliographic record
Abstract
âActive ageingâ has internationally circulated as a prominent approach to meeting the challenges of an ageing population. Through the use of a theatrical metaphor as an organizing principle, this article offers a fresh look at the concept of active ageing that clarifies the origins of its definition (the âstoryâ of active ageing and its âplaywrightsâ) and presents the scope of its action in policy through the exploration of two societal âstagesâ in Quebec and Belgium. By comparing these two levels (âstoryâ/âstagesâ) and these two âstagesâ, it helps to understand why the âcomprehensiveâ version of active ageing developed more in Quebec while, until now, the âreducedâ version to its productivist dimension is more evident in Belgium. The discussion also identifies some limits of âactive ageingâ.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.071 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".