Between Maroon Tradition and State Law in Jamaica: A Case Study of Challenges to Environmental Governance in a UNESCO World Heritage Site
Bibliographic record
Abstract
In the quest for effective environmental governance, the integration of legal and cultural pluralism within conservation strategies emerges as a critical factor, especially in regions marked by rich ethnic diversity and complex historical legacies. This paper explores the symbiotic relationship between state conservation efforts and the engagement of local communities, with a particular focus on the Indigenous Maroon communities in the Blue and John Crow Mountains (BJCMs) of Jamaica. It underscores the imperative of aligning conservation objectives with the aspirations and traditional practices of these communities to foster sustainable ecosystems and safeguard Indigenous autonomy. Central to this discourse is the development of collaborative frameworks that respect and incorporate the legal and cultural dimensions of pluralism, thereby facilitating a co-managed approach to environmental stewardship. This study emphasizes the role of collaboration and trust as pivotal elements in cultivating a mutual understanding of the interdependencies between state law and Indigenous law. This research advocates for a reciprocal exchange of knowledge between the state and community members, aiming to empower the latter with the resources necessary for effective environmental protection while respecting their legal autonomy. This approach not only enhances conservation initiatives overall, but also ensures that these efforts are informed by the rich cultural heritage and traditional ecological knowledge of the Maroon communities. By examining the conservation practices and governance challenges faced by the Maroons in the BJCMs, this paper reveals the nuanced dynamics of implementing state-led conservation laws in areas characterized by cultural and legal pluralism. The findings highlight the necessity for state regulatory frameworks to enable collaborative governance models that complement, rather than undermine, the traditional governance structures of the Maroons. This research contributes to the broader discourse on environmental governance by illustrating the potential of culturally informed conservation strategies to address environmental threats while respecting and reinforcing the social fabric of Indigenous communities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".