What about family in European old-age security systems? The complexity of institutional individualisation
Bibliographic record
Abstract
ABSTRACT European welfare states used to be based on the principle of the family. Since the 1990s, however, ‘individual responsibility’ has been promoted, which fundamentally alters the traditional welfare-institutional framing of the family and the corresponding construction of the social citizen. One policy field that has been heavily influenced by this development is old-age security. The literature assumes a convergence towards institutional individualisation. We show this however to be incorrect. We empirically analyse and classify welfare-institutional change in old-age security with regard to individualisation. An innovative methodological approach for institutional analysis allows a nuanced identification of the welfare-institutional trends towards individualisation of the social citizen above pension age both within and between welfare states. We conclude that there has been no general and no partial convergence towards individualisation. Instead, on average, family elements in old-age security have either increased or persisted. Also, our analysis suggests that welfare-institutional change with regard to family is far from being a linear process and in part even displays contradictions.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".