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Record W2560068416 · doi:10.22140/cpar.v4i1/2.71

A Stuy of Health Care Reform in China in Light of the USA and Canadian Systems

2016· article· en· W2560068416 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChinese Public Administration Review · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsReimbursementChinaDisadvantagedBusinessGovernment (linguistics)Work (physics)Health carePosition (finance)FinanceActuarial scienceEconomic growthEconomicsPolitical science

Abstract

fetched live from OpenAlex

This article describes and examines the newly implemented basic medical insurance system for urban employees in China. The insurance system was built on two distinct concepts, individual providence and social insurance, and was characterized by national government mandates, local government administration, and employer/employee contributions. The study found that the Chinese basic medical insurance program for urban employees was implemented in all major urban areas. About 130 million people were covered under the scheme as of May 2005. The program benefits are limited with relatively low ceilings on reimbursable expenses and high cost sharing from the insured. The procedure for reimbursement is complicated and time consuming. China can learn from the U.S. and Canadian systems in both financing and providing healthcare. The U.S. system arguably supplies the best medical services in terms of quality and accessibility for those who are insured and those who can pay out of pocket. But the huge costs may not work well with China at present. The Canadian system, which is relatively effective, efficient, and equitable, although not as accessible, may fit China better. The study also suggests that the U.S. employer-based healthcare insurance system requires a major overhaul. It puts U.S. companies at a disadvantaged position in the increasingly competitive global marketplace.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.301
Teacher spread0.259 · 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