Aurore Giacomel, Les enjeux du travail émotionnel individuel et collectif dans les groupes hôteliers multinationaux : la complexité de l’équilibre émotionnel au service de l’homéostasie organisationnelle
Bibliographic record
Abstract
La complexité croissante de l’environnement exige une capacité accrue d’adaptation des chaînes hôtelières, qui fondent leurs stratégies sur les demandes d’expériences et d’authenticité des touristes. Les salariés du front office sont, en effet, incités à répondre à des attentes paradoxales face aux clients, ce qui influe sur leur travail émotionnel et peut déboucher sur des comportements de retrait et des cas de déséquilibre émotionnel. Une meilleure compréhension du travail émotionnel et de l’équilibre émotionnel individuel et collectif peut-elle permettre d’optimiser la capacité adaptative dans ces métiers de contact ? Nous proposons une analyse qualitative et transdisciplinaire, guidée par l’approche épistémologique de la pensée complexe d’Edgar Morin, afin de traiter ce questionnement complexe.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".