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Record W2068849424 · doi:10.1215/03616878-28-2-3-195

Agency, Contract, and Governance: Shifting Shapes of Accountability in the Health Care Arena

2003· article· en· W2068849424 on OpenAlex
Carolyn Hughes Tuohy

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

VenueJournal of Health Politics Policy and Law · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAccountabilityEnthusiasmCorporate governanceAgency (philosophy)Health carePrincipal (computer security)DemocracyPublic relationsPolitical sciencePrincipal–agent problemPublic administrationBusinessSociologyPsychologyLawSocial psychologyPoliticsComputer scienceFinanceComputer security

Abstract

fetched live from OpenAlex

Current ideas about the role of the state include an enthusiasm for mechanisms of "indirect" or "third-party" governance. The health care arena, in which models of indirect governance have a long history, is an important test bed for these ideas. Classically, the arena was marked by trust-based, principal-agent relationships established to overcome information gaps. Over time (and to different degrees across nations), emphasis shifted to contractual relationships assuming relatively well-informed actors and then to performance monitoring and information sharing within complex and loosely coupled networks. In this latest stage, there is a risk that some important features of democratic leadership, and of decision making in the health care arena, will be eclipsed. Accountability mechanisms must clearly locate responsibility for actions and must allow for the exercise of professional judgment.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.059
GPT teacher head0.346
Teacher spread0.286 · 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