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Record W2131261047 · doi:10.3917/riges.393.0056

La logistique hospitalière au Québec : passé, présent et futur

2014· article· fr· W2131261047 on OpenAlexaffvenueabout
Martin Beaulieu, Jacques Roy, Sylvain Landry, Martin Michaud, Clément Roy

Bibliographic record

VenueGestion · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsHôpital du Sacré-Cœur de MontréalMinistère de la Santé et des Services Sociaux (Québec)HEC Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le réseau québécois de la santé et des services sociaux, à l’exemple de celui de nombreux pays industrialisés, doit trouver des façons de répondre à la demande grandissante tout en contrôlant la hausse des coûts. De plus en plus de directions d’établissements voient dans les activités de logistique hospitalière un réservoir d’économies potentielles de même qu’une façon de mieux soutenir la performance clinique. Depuis une dizaine d’années, on trouve différentes études qui tracent le portrait des activités logistiques dans les établissements de santé de la province de Québec. Cet article permet d’établir un pont entre ce passé et le présent afin de mieux comprendre les enjeux logistiques actuels. L’article propose ensuite des axes de développement possibles pour les activités de logistique hospitalière. Il se conclut par des observations sur les compétences que doivent posséder les gestionnaires de la logistique pour faciliter la mise en œuvre des axes de développement suggérés.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.646

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations18
Published2014
Admission routes3
Has abstractyes

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