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Record W2434278033

Paying more for less: older adults in the individual insurance market: findings from the Commonwealth Fund Survey of Older Adults.

2005· article· en· W2434278033 on OpenAlexaboutno aff
Collins, C Schoen, Doty Mm, Alyssa L. Holmgren, How Sk

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)CommonwealthHealth insuranceBusinessOlder peopleSurvey data collectionHealth and Retirement StudyActuarial scienceGerontologyDemographic economicsMedicineHealth careEconomicsPolitical scienceGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

The Commonwealth Fund Survey of Older Adults reveals that adults ages 50 to 70 who rely on the individual insurance market for health coverage pay much higher premiums than their counterparts with employer coverage or Medicare. The survey found that in 2004, more than half (54%) of older adults with individual coverage spent $3,600 or more annually on premiums. A quarter (26%) spent $6,000 or more a year. In contrast, only 17 percent of older adults with employer coverage and 6 percent of those covered by Medicare spent $3,600 or more on premiums. Moreover, individual coverage often provides poor access to care and entails high out-of-pocket expenses for older adults, making it a particularly unaffordable option for people who are older, have low incomes, or who have chronic health problems.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.148
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.383
Teacher spread0.266 · 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 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

Citations4
Published2005
Admission routes1
Has abstractyes

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