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Record W2002964641 · doi:10.2202/1948-4682.1031

The Limited Role of Citizens in Shaping Healthcare Policies

2010· article· en· W2002964641 on OpenAlex
Shahrokh Esfandiari

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Medical & Health Policy · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsMcGill University
Fundersnot available
KeywordsPublic relationsHealth careGovernment (linguistics)DemocracyDisseminationAffect (linguistics)Process (computing)Public administrationPolitical scienceBusinessSociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract Citizens everywhere are seeking a greater role to influence their government decision‐making. This interest in policymaking decisions has forced governments to adopt new methods to involve citizens. Although most governments acknowledge the need of their citizens' active participation in their healthcare plans, they do very little to facilitate such involvements. The toughest challenge of most healthcare systems is to get providers to acknowledge the importance of patients' choices in the health decision‐making process and to develop strategies to disseminate this information into clinical decisions. There is no gold standard among actively participating citizens in choosing policies that affect their day‐to‐day lives. There is also no evidence to support the idea that citizens' participation in decision‐making undermines the role of democratically elected representatives. If governments are interested in eliminating the apparent democratic deficit in healthcare policymaking, they need to create a vehicle that safely transfers information to their citizens and make it physically, socially, and culturally accessible to the community.

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)0.023
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.264
GPT teacher head0.492
Teacher spread0.227 · 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