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Record W2801483579 · doi:10.3386/w24584

Social Security Programs and Retirement Around the World: Working Longer – Introduction and Summary

2018· report· en· W2801483579 on OpenAlexaff
Courtney Coile, Kevin Milligan, David A. Wise

Bibliographic record

VenueNational Bureau of Economic Research · 2018
Typereport
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Aging
KeywordsSocial securityLabour economicsBusinessPolitical scienceEconomics

Abstract

fetched live from OpenAlex

This is the introduction and summary to the eighth phase of an ongoing project on Social Security Programs and Retirement Around the World. This project, which compares the experiences of a dozen developed countries, was launched in the mid 1990s following decades of decline in the labor force participation rate of older men. The first several phases of the project document that social security program provisions can create powerful incentives for retirement that are strongly correlated with the labor force behavior of older workers. Subsequent phases of the project have explored disability program provisions and their effects on retirement as well as potential obstacles to promoting work at older ages, including whether there is a link between older employment and youth unemployment and whether older individuals are healthy enough to work longer.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.621
GPT teacher head0.586
Teacher spread0.035 · 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 designNot applicable
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

Citations7
Published2018
Admission routes1
Has abstractyes

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