Une assise au développement des PPP: la confiance institutionnelle, interorganisationnelle et interpersonnelle
Bibliographic record
Abstract
Sommaire: Le succès d'un partenariat public-privé ou PPP repose principalement sur l'efficience de la relation de collaboration entre partenaires qui est elle-même tributaire de la confiance qu'ils s'accordent mutuellement. L'objectif de cette recherche est de comprendre la dynamique de la formation et de l'évolution de la confiance dans le cadre particulier d'un partenariat impliquant une entreprise privée et un organisme gouvernemental. Trois principaux types de confiance sont d'abord identifiés: la confiance institutionnelle, la confiance interorganisationnelle et la confiance interpersonnelle. L'analyse des événements et des éléments déclencheurs du passage d'un type de confiance à un autre permet de constater que les trois types de confiance se complètent tout au long de la relation de collaboration bien que chacun puisse prédominer à un moment donné. De plus, il ressort de l'analyse de cas que la confiance de type institutionnel demeure la condition nécessaire pour envisager une relation partenariale performante et la maintenir. Abstract: Collaboration between the partners, which itself is linked to the trust they have in one another, is of crucial importance to the success of a public-private partnership, or PPP. The objective of this research is to understand the dynamics involved in the establishment and evolution of this trust within the specific framework of a partnership involving a private corporation and a government agency. At the outset, three major types of trust are identified: institutional trust, inter-organizational trust, and interpersonal trust. The analysis of the events and elements that trigger the switching from one type of trust to another makes it clear that the three types complement one another throughout the collaborative relationship, although any one of them can predominate over the others at any given time. Furthermore, the conclusion based on the case analysis is that institutional trust remains the most important condition for ensuring and maintaining a well-performing partnership.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".