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Record W1994037562 · doi:10.1016/s0840-4704(10)60742-9

Méthode de répartition des coûts unitaires et des coûts hospitaliers

2000· article· fr· W1994037562 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

VenueHealthcare Management Forum · 2000
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsQueen's UniversitySante MontrealUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPartition (number theory)MathematicsCombinatorics

Abstract

fetched live from OpenAlex

La recherche de l'efficience a favorisé la publication d'un nombre important de travaux d'évaluation dans le domaine des établissements de santé. Certains d'entre eux adoptent une approche méthodologique qui semble, à première vue, critiquable en ce qui concerne la répartition des frais généraux ou de soutien au. centres d'activités de l'établissement. L'objectif du présent article est de vérifier, à partir de données réelles d'utilisation des ressources hospitalières, si le choix d'une méthode de répartition affecte significativement les coûts unitaires découlant de cette consommation de ressources. Les résultats obtenus à partir de notre échantillon suggèrent qu'il n'existe aucune relation statistiquement significative entre les méthodes utilisées et les coûts unitaires ainsi produits.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.149
GPT teacher head0.463
Teacher spread0.314 · 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