MétaCan
Menu
Back to cohort
Record W3124356549 · doi:10.24908/fg.v16i1.14532

COVID-19 : Le système sanitaire suisse face à la première vague

2021· article· fr· W3124356549 on OpenAlexvenueno aff
Nahid Haider

Bibliographic record

VenueFederal Governance · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakMedicinePhilosophy

Abstract

fetched live from OpenAlex


 
 
 Cette note de recherche s’interroge sur le fonctionnement de l’État fédéral helvétique, lorsque celui-ci est confronté à une situation exceptionnelle. Nous tenterons, sans trop prétendre à l’exhaustivité, de présenter et évaluer le système politique et de santé suisse à l’aune de la crise de la COVID-19. Pour ce faire, nous retraçons l’histoire du système sanitaire suisse et des politiques qui en découlent. Dans un second temps, nous expliquons en quoi l’efficacité d’un bon gouvernement va de pair avec l’efficience d’un système sanitaire, puis nous discuterons de la relation extraordinaire des acteurs (publics-privés) qui permettrait d’atteindre un optimum du système de santé suisse.
 
 

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 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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.079
GPT teacher head0.424
Teacher spread0.345 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueFederal GovernanceSame topicHealthcare Systems and PracticesFrench-language works237,207