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Record W2613370445 · doi:10.2143/tvg.72.17.2002174

De rol van de arts in het ziekenhuis

2016· article· nl· W2613370445 on OpenAlexaboutno aff
Renaat Peleman, Caroline Vogels

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2016
Typearticle
Languagenl
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

De auteurs houden een pleidooi voor een uitgesproken betrokkenheid van de arts bij de organisatie van de gezondheidszorg door het opnemen van een verantwoordelijke leiderschapsrol. Zorg wordt gedreven door waardecreatie voor de patiënt wanneer de arts de aangeleerde rollen uit het CanMeds-model (“Canadian Medical Education Directives for Specialists”) met 7 competentiegebieden en 28 kerncompetenties in de praktijk brengt en verder ontwikkelt tijdens het beroepsleven. Het plan van aanpak voor de hervorming van de ziekenhuisfinanciering door het kabinet, voorgesteld in april 2015 en sinds kort ook progressief uitgerold, biedt kansen voor artsen voor beleidsparticipatie en is voor patiënten een eerste stap naar waardecreatie in de zorg.

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)0.007
metaresearch head score (Gemma)0.014
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 score0.116
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.012
Scholarly communication0.0150.008
Open science0.0010.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0390.007

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 head0.327
GPT teacher head0.414
Teacher spread0.087 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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