De l’espoir dans le tragique. Quand l’agir procure du sens à une vie
Bibliographic record
Abstract
The experience of illness causes disorientation, a loss of meaning, and a loss of freedom to act. In other words, the entire field of practical possibilities diminishes, resulting in action being viewed as something impossible. In this case, the question is the following: Can the nurse contribute to maintaining hope for a life that is rich in meaning, adjusted to the limits imposed by the patient’s illness? To explore the answer to this question, we propose a humanistic model of accompaniment that enables nurses to restore hope and power to persons in vulnerable situations. In examining the best-case and the worst-case scenarios that a vulnerable person could be faced with, the accompaniment method proposed places emphasis on the exploration of practical interventions that could foster the best-case scenario and reduce the risk and the consequences of the worst-case scenario. By working on certain pragmatic aspects, we find that life becomes meaningful according to the use we can make of it, taking into account what we can actually do.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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.
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".