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Record W3168666385 · doi:10.1017/9781009036375

Health Care Research and Organization Theory

2021· book· en· W3168666385 on OpenAlexaff
Trish Reay

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth careOrganizational theoryContext (archaeology)Knowledge managementElement (criminal law)SituatedOrganization developmentQuality (philosophy)Work (physics)Empirical researchOrganizational studiesOrganizational learningPublic relationsPsychologySociologyManagementPolitical scienceComputer scienceEngineeringEpistemology

Abstract

fetched live from OpenAlex

In this Element, we examine how organizational researchers have published articles contributing to organization theory in high quality organizational journals, and we examine how healthcare researchers have drawn on organization theory in healthcare management journals. We have two main aims in writing this Element. The first is to motivate scholars working in the field of general organizational and management studies to increasingly use healthcare settings as an empirical context for their work in theory development. Our second aim is to encourage healthcare researchers to increase their use of organizational theory to advance knowledge about the provision of healthcare services. Our investigations revealed a growing number of organizational studies situated in healthcare. We also found a disappointing level of connection between research published in organization journals and research published in healthcare journals. We provide explanations for this division, and encourage more crossdisciplinary work in the future.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0020.028
Scholarly communication0.0090.008
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.226
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations24
Published2021
Admission routes1
Has abstractyes

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