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Record W4391503253 · doi:10.1016/j.cpa.2024.102719

Accounting artifacts and the reformation of a national healthcare system

2024· article· en· W4391503253 on OpenAlex
Abu Shiraz Rahaman, Dean Neu, Jeff Everett

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCritical Perspectives on Accounting · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsYork University
FundersUniversity of CalgaryWorld Bank Group
KeywordsHealth careAccountingHealthcare systemPolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

This study examines the role of ‘accounting artifacts’ in the reformation of a country’s healthcare system. Focusing on a single hospital and four decades of policy reform in the African nation of Ghana, and starting from Pierre Bourdieu’s Logic of Practice , the study shows how different forms, constructions, and classifications of accounting information—or accounting artifacts—shape policy regimes and facilitate particular patterns of activity and interaction. The study demonstrates how these regimes and patterns, in conjunction with the embedded social memory or habitus of individual actors, in turn lead to the construction and use of new artifacts. Finally, the study highlights how hospital staff and patients use various tactics to work with and around these artifacts, resulting in at times unintended consequences and the need to pursue new policy directions. In so doing, the study furthers our understanding of why policy-reform processes in the field of healthcare are so often sequential, if not perpetual, in nature.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
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 head0.013
GPT teacher head0.264
Teacher spread0.250 · 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