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Record W6992803991

Modification des contrats de la commande publique: 5e Rapport de la Chaire de droit des contrats publics

2023· report· fr· W6992803991 on OpenAlexaff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typereport
Languagefr
Field
Topic
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPublicsLiabilitySection (typography)
DOInot available

Abstract

fetched live from OpenAlex

A travers son cinquième rapport, la Chaire de droit des contrats publics entend mesurer l'effectivité des règles encadrant la modification des contrats de la commande publique.En particulier, les enquêtes se sont concentrées sur la pratique du nouveau régime de modification en cours d’exécution des contrats de la commande publique résultant des directives européennes de 2014 et du Code de la commande publique, ainsi que sur les éventuelles difficultés rencontrées par les praticiens (avocats, juristes d’entreprises titulaires de marchés publics ou concessionnaires, juristes d’autorités contractantes), notamment dans le contexte d’inflation économique actuel. Une attention particulière a également été portée sur la notion de modification substantielle, les modifications sèches du prix ou des tarifs, la mise en œuvre de la théorie de l’imprévision et l’avis de la section administrative du Conseil d’Etat en date du 15 septembre 2022.Les enquêtes ont permis de formuler 9 recommandations d'amélioration des pratiques et du droit. Pour en savoir plus, consultez le rapport.

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)0.011
metaresearch head score (Gemma)0.031
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 score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.007
Scholarly communication0.0130.007
Open science0.0020.007
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0200.004

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 head0.061
GPT teacher head0.299
Teacher spread0.239 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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