Maintien durable au travail des personnes diagnostiquées d’un cancer dans un monde du travail en mutation
Bibliographic record
Abstract
Le nombre croissant de personnes diagnostiquées d’un cancer en âge de travailler incite à explorer la soutenabilité de leurs conditions de travail et les pistes d’intervention sur leurs situations de travail pour favoriser un maintien durable au travail dans un contexte d’intensification du travail. Revue narrative sur la littérature relative aux personnes diagnostiquées d’un cancer, à leur situation professionnelle, à leur participation au marché du travail, à leur retour/maintien au travail, à l’emploi durable. Les transformations du monde du travail augmentent le caractère imprévisible et variable des situations de travail complexifiant ainsi les stratégies de gestion des déficiences fonctionnelles après diagnostic de la maladie. Renforcer les marges de manœuvre, c’est-à-dire les capacités d’autorégulation pour faire face aux exigences de la situation de travail en déployant des stratégies de travail efficaces et en préservant la santé, implique d’optimiser les ressources (externes) disponibles au niveau de la situation de travail par des actions ergonomiques et/ou d’améliorer les ressources (internes) individuelles par des soins de soutien ou de réadaptation et/ou de formation professionnelle. Les interventions en faveur du maintien durable au travail des personnes diagnostiquées d’un cancer doivent donner la primauté à l’adaptation des conditions de réalisation du travail et identifier les leviers ergonomiques permettant d’améliorer les marges de manœuvre en situation de travail pour promouvoir des conditions de travail soutenables. The growing number of people diagnosed with a cancer of working age prompts us to explore the sustainability of their working conditions and avenues of intervention in their work situations to promote sustainable job retention in a context of work intensification. Narrative review of the literature on people diagnosed with a cancer, their work situation, participation in the labour market, return to work (RTW) and sustainable employment. Transformations in the world of work are increasing the unpredictability and variability of work situations, making strategies for managing functional deficiencies after diagnosis of the disease more complex. Reinforcing socio-technical and organizational leeways (STOL), i.e. self-regulation capacities to cope with the demands of the work situation by deploying effective and healthy work strategies, implies optimizing the (external) resources available at the level of the work situation through ergonomic actions and/or improving individual (internal) resources through supportive care or rehabilitation and/or vocational training. Interventions to help people diagnosed with a cancer to stay at work in the long term must give primacy to the accommodation of the work situation and identify the ergonomic levers for improving their STOL.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".