Licenciement. Absence de cause réelle et sérieuse – Indemnisation – Barème (non) : interprétation in abstracto – Inconventionnalité – Droit international et européen – Article 24 de la Charte sociale européenne – Article 10 Convention 158 OIT.
Bibliographic record
Abstract
La présente étude explore les modalités d’application et les effets de la technologie numérique dans les services de soins infirmiers de la hiérarchisation des soins. À travers l’analyse de solutions numériques dans trois domaines clés : la gestion des maladies chroniques, la rééducation postopératoire et les soins aux personnes âgées, il ressort que des technologies comme l’Internet des objets et l’intelligence artificielle peuvent améliorer significativement les capacités de soins au niveau de base et optimiser la répartition des ressources. Cette étude fournit une référence pratique pour perfectionner le système de soins infirmiers de la hiérarchisation des soins et propose de renforcer le soutien politique ainsi que l’innovation technologique, afin de promouvoir le développement intelligent des services infirmiers.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".