Towards an EU Charter of the Fundamental Rights of Nature
Bibliographic record
Abstract
This Study aims to set a framework for the legal recognition of the Rights of Nature in the EU legal order, as a prerequisite for a different and improved relationship between human beings and Nature. This aim should be possibly accomplished through the development of a EU Charter on Fundamental Rights of Nature. \nInitially, the Study shows the role of Rights of Nature with respect to environmental protection goals and addresses the reasons why current EU Environmental Law is failing to deliver the required level of nature protection (Section 2). \nSubsequently, the Study assesses how the "Rights of Nature" may help to overcome the failures of environmental law. To this end, four paradigmatic cases are proposed and analysed (Section 3). Based on the findings of this analysis, the strategic milestones required to achieve genuine ecosystem protection are identified and presented (Section 4). Finally, the possibility of introducing a Charter of the Rights of Nature in the EU legal system, with its basic principles, recommendable features and proposed pathway is discussed (Sections 5, 6 and 7).
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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 | 0.023 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".