MétaCan
Menu
Back to cohort
Record W2158297025 · doi:10.5034/inquiryjrnl_47.02.124

Medical Spending Differences in the United States and Canada: The Role of Prices, Procedures, and Administrative Expenses

2010· article· en· W2158297025 on OpenAlex
Alexis Pozen, David Cutler

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

VenueINQUIRY The Journal of Health Care Organization Provision and Financing · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsPoolingPer capitaAdministration (probate law)Medical expensesHealth careDemographic economicsBusinessMedical carePublic economicsEconomicsEconomic growthMedicinePolitical scienceEnvironmental healthMedical emergencyNursing

Abstract

fetched live from OpenAlex

The United States far outspends Canada on health care, but the sources of additional spending are unclear. We evaluated the importance of incomes, administration, and medical interventions in this difference. Pooling various sources, we calculated medical personnel incomes, administrative expenses, and procedure volume and intensity for the United States and Canada. We found that Canada spent $1589 per capita less on physicians and hospitals in 2002. Administration accounted for the largest share of this difference (39%), followed by incomes (31%), and more intensive provision of medical services (14%). Whether this additional spending is wasteful or warranted is unknown.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.234
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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