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Record W2120318548 · doi:10.1017/s1744133115000195

Reflecting on ‘Equity in health care: the Irish perspective’

2015· letter· en· W2120318548 on OpenAlexaff
Jeremiah Hurley

Bibliographic record

VenueHealth Economics Policy and Law · 2015
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsContent (measure theory)IrishEquity (law)Perspective (graphical)BusinessAdvertisingPsychologyPolitical scienceComputer scienceLawMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

In 'Equity in health care: the Irish perspective', Smith and Normand present a fascinating exercise in forensic economics investigating equity in the Irish health system. What, they ask, is the guiding equity definition, or principle, for the Irish health care system? To find out, they examine both stated preferencesthe equity principles espoused in recent Irish health policy documentsand revealed preferencescrucial features in the design of the Irish health care system. Their main findings won't surprise anyone who has been involved in health policy very long. Even in the health policy documents alone, rather than a single guiding equity principle, they find a confusing mix of conflicting equity definitions: "This analysis of one country's policy commitment on equity outlines an unclear, inconsistent and varied definition, at one point, the strategy is concerned with equality in access and opportunity (to achieve full health potential), at another it is concerned with equality in health status, and at yet another it is concerned with distribution of resources according to need" (Smith and Normand, 2011: 211). Moreover, they find a health care system that, in many respects, is incongruent with the articulated definitions (e.g. high rates of cost sharing that inhibits access to needed care). At least with respect to equity, Irish health policy is rife with irrationality, prompting Smith and Normand to offer the Irish system as a cautionary tale for other countries. One suspects, however, that many other countries would fare little better under such scrutiny. The precise nature of the irrationalities and inconsistencies would differ, but they would no doubt be present.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.239
GPT teacher head0.437
Teacher spread0.198 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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