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Record W2052793917 · doi:10.1111/spol.12010

Comparing Formal Unemployment Compensation Systems in 15<scp>OECD C</scp>ountries

2013· article· en· W2052793917 on OpenAlexaff
Umut Riza Ozkan

Bibliographic record

VenueSocial Policy and Administration · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsUnemploymentRedundancy (engineering)Welfare stateWelfareEconomicsArgument (complex analysis)Compensation (psychology)Labour economicsPolitical scienceEconomic growthMarket economyLawPsychologyEngineeringMedicine

Abstract

fetched live from OpenAlex

Abstract This study contributes to the welfare regime literature by analyzing unemployment compensation programmes – unemployment insurance ( UI )/assistance ( UA ) programmes and redundancy pay schemes – of welfare state/occupational welfare regimes. It covers 15 countries of the O rganisation for E conomic C o‐operation and D evelopment ( OECD ) selected from S outhern E uropean, L iberal, C ontinental‐corporatist and S ocial D emocratic country clusters. In contrast to the common argument that S outhern E uropean countries have underdeveloped formal unemployment compensation systems, this study argues that they (especially in S pain, P ortugal, and to some extent Italy) are comparable in strength to those in C ontinental‐corporatist countries if occupational welfare programmes – notably redundancy pay – are considered alongside welfare state programmes for unemployment protection. The study also outlines the characteristics of redundancy pay schemes in the four country clusters and shows how different redundancy pay schemes are linked to UI / UA schemes in these clusters.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.081
GPT teacher head0.402
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2013
Admission routes1
Has abstractyes

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