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Record W2489001511

The Economic Impacts of Aging Societies

2016· article· en· W2489001511 on OpenAlexaboutno aff
Fındık Özlem Alper, Ali Eren Alper, Okyay Uçan

Bibliographic record

VenueDergiPark (Istanbul University) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNatural resource economicsEconomic geographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Changes occuring in the health sector and in terms of society within the last 100 years in the world has extended the life expectations at the time of birth and decreased the birth rates. These changes have been experienced especially in developed countries rather than the underdeveloped and developing countries. The aim of this study is to make the determination of the economic effects of growth by using panel data analysis method for 2000-2014 period in 19 developed countries consisting of USA, Canada, England, Germany, France, Japan, Belgium, Australia, Luxembourg, Switzerland and Denmark. The panel corrected Standard errors (PCSE) regression test results show that the income per capita is directly proportional with the income per worker and labour force total participation rate (LFTP). So when the average of age increases LFTP decreases and this affects negatively the national income of countries. Keywords: Aging; Labour Force Participation Rate; Panel Data Analysis JEL Classifications: J11; J21; C23

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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.341
Teacher spread0.317 · 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

Citations11
Published2016
Admission routes1
Has abstractyes

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