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Record W4413709218 · doi:10.62938/rdc-2025-1-0004

Constitutionalizing nature: safeguarding ancient forests through rights- based legal frameworks

2025· article· en· W4413709218 on OpenAlexaboutno aff
Rawnak Miraj Ul Azam

Bibliographic record

VenueRevista de drept constituţional · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsSafeguardingEnvironmental ethicsEnvironmental resource managementPolitical scienceBusinessEnvironmental sciencePhilosophy

Abstract

fetched live from OpenAlex

This research explores the emerging jurisprudence and ethical frameworks surrounding the recognition of legal personhood for ancient forests, engaging with existing literature on environmental rights, indigenous cosmologies, and ecocentric legal theories.Previous studies have addressed the rights of nature in Latin American constitutions and landmark cases such as Whanganui River in New Zealand and Atrato River in Colombia, but few have systematically analyzed the application of legal personhood to ancient forests specifically, leaving a significant gap in the discourse on ecosystem-centered legal innovations.This paper asks: To what extent can legal personhood be extended to ancient forests as a mechanism for enhanced protection under domestic and international legal regimes?Employing a doctrinal and comparative methodology, the research analyzes legal instruments, judicial decisions, and customary law principles across diverse jurisdictions, particularly focusing on indigenous epistemologies and their convergence with ecological justice.Through case studies from India's Sacred Groves, Canada's Great Bear Rainforest, and the Amazon, the paper critically evaluates how granting forests legal standing influences enforcement mechanisms, rights-based environmental governance, and conservation outcomes.The analysis reveals that while legal personhood can symbolically elevate forest protection, practical implementation often remains constrained by state-centric legal systems and anthropocentric biases.The study proposes a hybrid legal model that integrates procedural environmental rights with the substantive recognition of ecosystems as rights-bearing entities, thereby bridging moral, legal, and ecological imperatives.The outcome contributes to the growing field of Earth jurisprudence by conceptualizing ancient forests as not merely resources but as subjects of law.The findings have implications for environmental policymaking, especially in regions experiencing ecological degradation and indigenous land dispossession.By situating ancient forests within a framework of legal personhood, this research advocates for a Rawnak Miraj Ul

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.324
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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