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Record W6982187666

Healthcare financing in Canada and Singapore : protection and satisfaction

2011· other· en· W6982187666 on OpenAlexaboutno aff

Bibliographic record

VenueDR-NTU (Nanyang Technological University) · 2011
Typeother
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careHealthcare systemFace (sociological concept)Healthcare policyHealthcare industryDeveloping country
DOInot available

Abstract

fetched live from OpenAlex

This paper seeks to examine the level of protection and satisfaction faced by individuals in two distinct healthcare systems of two countries namely Canada and Singapore. The first part of this paper focuses on protection in which detailed data will be presented to show that the low-income and aged in Singapore face significantly higher levels of burden in financing their healthcare costs than those in Canada. A greater level of burden on these vulnerable groups would mean that they are less likely to be protected by the healthcare system as a result of being unable to afford their healthcare costs. The second part of this paper focuses on consumer satisfaction. By means of a survey, we will show that Singaporeans, nevertheless, are more satisfied with their healthcare system than Canadians. This paper then concludes with the implications for healthcare policymaking for both countries and recommendations on how each system can enhance both protection and satisfaction for its people.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.021
GPT teacher head0.158
Teacher spread0.137 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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