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Record W3122982970

The Evolving Retirement Income Package: Trends in Adequacy and Equality in Nine OECD Countries

2002· article· en· W3122982970 on OpenAlexaboutno aff
Atsuhiro Yamada

Bibliographic record

VenueOECD labour market and social policy occasional papers · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceProsperityWelfare economicsHumanitiesGeographyEconomicsArt
DOInot available

Abstract

fetched live from OpenAlex

In 1998, the OECD issued a report, Maintaining Prosperity in an Ageing Society, on the widespread policy implications of ageing. This study is a background paper for one of the follow-up studies, Ageing and Income: Financial Resources and Retirement in Nine OECD countries, which was published by OECD in 2001. Canada, Finland, Germany, Italy, Japan, the Netherlands, Sweden, the United Kingdom and the United States participated in this activity. Japan played a major role in initiating and funding the project. This paper explores various questions related to the income situation of persons at retirement-age It is based on the most comprehensive data available for the nine participating countries (including, for the first time, Japanese data) in a consistent and comparative way. Recently developed techniques were employed to examine the interactions between the evolution of the retirement income package, and trends in income adequacy and equality. There are four main ... En 1998, l’OCDE a publie un rapport, Preserver la prosperite dans une societe vieillissante, sur les consequences importantes du vieillissement sur les politiques. Cette etude a servi de document de base pour une des etudes qui a suivi, Vieillissement et revenus – Les ressources des retraites dans 9 pays de l’OCDE, qui a ete publiee par l’OCDE en 2001. Le Canada, la Finlande, l’Allemagne, l’Italie, le Japon, les Pays-Bas, la Suede, le Royaume-Uni et les Etats-Unis ont participe a cette activite. Le Japon a lui joue un role majeur dans le lancement et le financement du projet. Ce document explore diverses questions liees a la situation financiere des personnes en âge de la retraite. Il se base sur les donnees les plus completes disponibles pour les neuf pays participant (y compris, pour la premiere fois, les donnees du Japon) d’une maniere comparative et constante. Des techniques recemment elaborees ont ete utilisees pour examiner la relation qui existe entre l’evolution de ...

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.092
GPT teacher head0.390
Teacher spread0.298 · 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.

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

Citations14
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueOECD labour market and social policy occasional papersSame topicRetirement, Disability, and EmploymentFrench-language works237,207