Trusting organizations : Les organisations créatrices de confiance
Bibliographic record
Abstract
Pour les entreprises, la confiance devient le carburant vital de la performance. La conjonction d’une mondialisation de la concurrence de plus en plus imprevisible qui impose des reactions rapides, de la revolution numerique qui perime a toute allure des secteurs d’activite, metiers et emplois, des nouveaux modes de production de biens et de services qui multiplient les communications horizontales aux depens des seules relations top-down, tout cela suppose que l’entreprise devienne sans cesse plus agile, s’adapte en temps reel, innove en permanence et passe d’un fonctionnement en silos a un fonctionnement transversal : seule une confiance fortifiee entre ses diverses parties prenantes peut assurer, au plus faible cout, cette indispensable et nouvelle conception de la performance. Partant de nombreux exemples d’entreprises canadiennes et europeennes, les deux auteurs – eux-memes issus du monde de l’entreprise – proposent des outils simples pour permettre, d’une part, d’elever le niveau de confiance interpersonnelle entre tous ceux qui participent en interne a la production de la performance et, d’autre part, de rendre l’organisation meme de l’entreprise creatrice de confiance vis-a-vis de l’ensemble de ses partenaires. C’est concret, pratique et necessaire.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads agree on what is shown here.
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".