No forest, no dispute: the rights-based approach to creating an enabling environment for participatory forest management based on a case from Madhupur Sal Forest, Bangladesh
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored whether and how the duty-bearer applied a rights-based approach (RBA) in the context of long-running disputes in Madhupur Sal Forest, Bangladesh to transform conflicts into solutions for collective management of forest resources. Using a case study design, we applied a timeline method and semi-structured in-depth interviews to collect data. The grounded theory approach was used to reconstruct the experiences of tribal forest dwellers, and identify the common themes of RBA. The study revealed that neglecting the rights of the forest dwellers led to ineffective policies and programs and, subsequently, to long-running conflicts. In order to sustain collaboration, it is necessary to integrate rights-based discussions with desired recognition, promises, instruction, and welfare provision, considering freedom, security, need for information, and delegating responsibilities. The study provides insights into how forest duty-bearers should consider the broader perspective of RBA in order to sustain their initiatives and achieve the conservation goal.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it