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Record W2041393376 · doi:10.1002/sres.1034

A system dynamics approach to jurisdictional conflict between a major and a minor healthcare profession

2010· article· en· W2041393376 on OpenAlex

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

VenueSystems Research and Behavioral Science · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsMinor (academic)MonopolyJurisdictionHealth careCompetition (biology)ChiropracticPublic relationsProfessional associationPolitical scienceLawMedicineEconomicsAlternative medicineMarket economy

Abstract

fetched live from OpenAlex

Abstract The purpose of this research was to evaluate strategies that a minor profession might successfully undertake to gain market share held by a dominant player when a jurisdiction is contested. A case study approach positing Medicine as the dominant (major) profession and chiropractic as the competitor (minor profession) was used in combination with System Dynamics modelling. Informed by theory of inter‐professional competition, two strategies were hypothesized to aid a minor profession in gaining or securing market share. The first was an increase in abstract knowledge and the second was an increase in professional association membership. In addition, it was hypothesized that an increase in supply of the dominant profession would adversely affect the minor profession's bid for jurisdictional control, as would pressure on the major profession from external sources such as health management. It was concluded that for the relationships explored, simulation results favoured Medicine's monopoly power. Copyright © 2010 John Wiley & Sons, Ltd.

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.211
GPT teacher head0.425
Teacher spread0.214 · 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