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Singapore Social Security Systems and Enlightenment

2010· article· en· W1879397767 on OpenAlexvenueno aff
An Yan

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentSocial securityChinaPolitical scienceHumanitiesEthnologyWelfare economicsSociologyEconomicsPhilosophyLaw

Abstract

fetched live from OpenAlex

Singapore, as a postwar new modernized country ,has established oneself characteristic more perfect social security system in the full absorption world advanced social security systems. Singapore success experience has the important model significance with China ,which belongs to Eastern culture. Key words: Singapore, Social security, Enlightenment Resume: Le Singapour, un pays moderne emergeant apres la guerre, en s’inspirant des systemes d’assurance sociale avances du monde, a installe son propre systeme d’assurance sociale relativement complet. Le succes du Singapour dans ce domaine offre des revelations pour la Chine, qui appartient aussi a la culture orientale. Mots-cles: Singapour, assurance sociale, revelation 摘要:新加坡作為一個戰後新型的現代化國家,在充分吸收世界先進的社會保障制度的基礎上,建立了具有自己特色的較為完善的社會保障體制。新加坡建立社會保障制度的成功經驗對於同屬於東方文化的中國,具有重要的借鑒意義。 關鍵詞:新加坡;社會保障;啟示

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.016
GPT teacher head0.281
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2010
Admission routes1
Has abstractyes

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