Considérations Juridiques et Empiriques de L'Application de la Loi Concernant Les Soins de Fin de Vie en Sphère Clinique (Legal and Empirical Aspects of the Application of the Act Respecting End-of-Life Care in the Clinical Sphere)
Bibliographic record
Abstract
French Abstract: Les conflits en sphere clinique sont souvent dus a une mauvaise communication entre soignants, patients, et leurs representants. En l’absence d’une amelioration de ces relations, le nombre de discordes risque d’augmenter lors de l’administration de la sedation palliative continue et de l’aide medicale a mourir. Un examen de certaines etudes empiriques qui analysent la communication dans l’environnement medical, notamment pour ce qui a trait a l’obtention d’un consentement eclaire aux soins de fin de vie, ainsi que l’impact des differences culturelles et religieuses entre soignants et patients, permet d’identifier certaines pistes de solutions et d’effectuer une application de la Loi concernant les soins de fin de vie dans le respect des droits des patients. English Abstract: The medical environment is characterized by certain problems relating to communication between healthcare providers, patients and their representatives. These problems may become exacerbated in the context of the administration of continuous palliative sedation and physician assisted suicide. A review of empirical research which examines certain aspects of obtaining an informed consent for end of life care, as well as the hurdles associated with cultural and religious differences between healthcare providers and patients, provides certain insights which may avoid conflicts associated with the application of the Act Respecting End-of-life Care, and ensure that the Act is applied in a manner which is consistent with patients’ rights.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.100 | 0.196 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.006 | 0.028 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".