Rights of Nature: an Exploration of the Qualitative Evidence of Rights of Nature’s Contribution to Environmental Conservation
Bibliographic record
Abstract
The Rights of Nature as a legal approach and instrument to safeguard our environment are evolving rapidly. The goal is to establish that nature obtains legal rights which are equal to humans. Nature's rights are still a relatively new concept that is mostly studied as an ecocentric legal philosophy. This study seeks to contribute to this literature by examining the qualitative evidence of the legal paradigm of the Rights of Nature and if it contributes to environmental conservation. This study examines the qualitative evidence from three cases where Rights of Nature has been\nimplemented: the Magpie River (Canada), the Mar Menor Lagoon (Spain) and the Wadden Sea (the Netherlands). Each case has implemented and recognized an ecosystem as a legal personhood and gave “them” their own rights, which provides an opportunity to explore Rights of Nature in different scenarios with diverse cultural, economic, and ecological aspects.\n\nTo meet the objective, I have conducted a document analysis, using a comparative case study approach to examine the available research material on Rights of Nature and the three cases. The material used has been official government documents, scientific papers, and gray literature (media coverage etc.). The discussion drew upon insights from two academic discourses to underpin the rationale for Rights of Nature: environmental justice, which concerns fairness among humans in their relationship with nature, and ecological justice, which focuses on fairness for nature itself.\n\nThe qualitative evidence from the three cases supports the idea that the Rights of Nature can bolster environmental conservation efforts, setting important precedents for cultural and legal transformation toward respecting natural entities. However, for Rights of Nature to be truly effective, it must be integrated into a comprehensive strategy featuring robust enforcement mechanisms, international cooperation, and shifts in human-nature relationships. The proliferation of Rights of Nature initiatives globally hints at a future where legal systems might recognize natural entities as rights holders, potentially enhancing global environmental governance. Nevertheless, this hopeful vision must contend with existing legal and bureaucratic structures that may resist such profound changes.
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.
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 | 0.045 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.013 | 0.040 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".