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Record W2561804369 · doi:10.1017/s0144686x16001392

What about family in European old-age security systems? The complexity of institutional individualisation

2016· article· en· W2561804369 on OpenAlexaff
Patricia Frericks, Julia Höppner

Bibliographic record

VenueAgeing and Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsFraming (construction)WelfarePensionSocial securityInstitutional changeConvergence (economics)SociologyPolitical scienceEconomic growthEconomicsLawPublic administrationGeography

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.315
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2016
Admission routes1
Has abstractyes

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