Les plateformes d’innovation sur Internet : arrangements contractuels, intermédiation et gestion de la propriété intellectuelle1
Bibliographic record
Abstract
Les plateformes d’innovation sur Internet ont pris leur essor depuis le début des années 2000. Ces structures d’intermédiation mettent en relation des entreprises en panne de solution pour leur R&D avec des internautes du monde entier. Le défi posté sur la plateforme est récompensé par une prime s’il est retenu. L’objet de l’article est d’analyser les arrangements contractuels sur une plateforme spécifique (Innocentive), que ce soit en matière de propriété intellectuelle ou d’aide et de supports techniques. Il s’agit également de comprendre comment ces dispositifs répondent au problème d’asymétrie d’information et d’incertitude inhérent aux transferts de technologie.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".