Chapitre 6. Des éthiques collectives à une gestion adaptative des conflits organisationnels
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The idea of collaborative governance is gaining popularity. However, how can it be truly collaborative? Decision-making systems with diverse stakeholders must deal with different positions, roles, interests, missions, observations, and values. The co P·R·I·M·O·V (Position, Role, Interest, Mission, Observation, Values) bioethics tool aims to improve the practice of sustainable, collaborative, and democratic development of technosocial initiatives through its user-friendly format for professional ethicists. The tool follows the logic of Conflict of Interest (CoI) analysis used in organizational ethics frameworks. CoI, as an analytical unit in ethics, allows the anticipation and management of problems that may compromise the short- and long-term activities of a program and its governance. This tool was built on a case study for the implementation of monitoring of antibiotic use in animal health in Quebec, Canada. The use of this bioethics tool is strategic and can help negotiate positions and thus co-construct a common frame of reference between the stakeholders in view of a collaborative governance favoring cooperation.
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.
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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 it