Les Autochtones De L'Outre-Mer Français Face Aux Activités De Recherche Sur La Biodiversité: Quel Rôle Et Quels Pouvoirs Pour Les Populations Autochtones Et Locales De L'Outre-Mer? (Indigenous People and Research on Biodiversity in the French Overseas Territories: What Role and What Powers for Indigenous and Local People Overseas?)
Bibliographic record
Abstract
French Abstract: Depuis les annees 80-90 sous l’impulsion de developpements en matiere de biotechnologie, les activites de recherche sur la biodiversite et en particulier sur les ressources genetiques ont connu un essor important. Le developpement de ces activites a entraine l’elaboration de nouvelles regles au niveau international en matiere d’acces aux ressources genetiques et de partage des avantages decoulant de leur utilisation. Ces mesures concernent les communautes autochtones et locales au titre de fournisseurs de ressources mais aussi de savoirs traditionnels associes a ces ressources. La mise en œuvre de ces regles releve de la responsabilite des Etats. Notre contribution vise a analyser l’etat present de la mise en œuvre de ces mesures dans l’outre-mer francais afin de determiner le role et les pouvoirs des communautes autochtones et locales de la Republique dans le cadre de l’acces et l’utilisation des ressources genetiques et des savoirs traditionnels associes. English Abstract: Due to developments in the field of biotechnology, research activities on biodiversity and more particularly on genetic resources have increased. The development of these activities has led to the adoption of new rules at the international in the field of access to genetic resources and benefit sharing. These measures involve indigenous and local communities as providers of resources and of traditional knowledge associated to it. States are responsible for the implementation of these rules. This study targets to analyze the present state of these measures in the French territories abroad in order to define the role and the powers of local and indigenous communities from France.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".