Scale up of Participatory Planning for Resource Governance: A Case in Sam Chuon Lagoon, Vietnam
Bibliographic record
Abstract
"In responding to the overexploitation and degradation of the rich natural resource base in the Tam Giang Lagoon in Vietnam, IDRC (Canada) provided support to participatory research to investigate problems and community-based management. Local farmers, fishers, and government officials joined with the research team in a series of collaborative learning and testing interventions over a period of several years. This led to a pilot implementation of a new model for participatory planning and resource co-management in the lagoon. This not only helped resolve conflicts and ensure a more equitable access to the resources, but also improved the prospects for better governance of lagoon resources in the future. Key to this achievement was a common understanding of the Community-Based Natural Resource Management approach developed among the stakeholders. The essential elements included full engagement of local stakeholders (with emphasis upon marginalized groups), recognition of customary access rights, changes to the processes of local planning and resource governance, and changes to the organization and roles of the key stakeholders. The research team also adopted a new role as facilitators of learning, capacity-building, and more importantly, negotiation and consensus building among the stakeholders. New locally-organized user groups along with leaders of local government played a central role in empowering the community, providing legal support, and organizing the implementation of joint plans. The officers of provincial and district government departments adopted a new role: they provided technical assistance instead of giving direct instructions. Fishers and farmers participated in lagoon planning based on their improved understandings of problems, benefits, and responsibilities, which grew from their ongoing involvement in the research. The challenge of the on going research activity is to identify the process and means for the scale up of the application of the participatory planning with respect to ecosystem base and multiple community involvement. The participatory planning was replicated successfully in Quang Loi lagoon, that had similar context of Quang Thai. It is also being carried out and further developed in Sam Chuon, a lagoon located in the middle of the larger lagoon system with four communes surrounding. The activities in supporting the participatory planning scale up include (1) building community movements for enlarging common lagoon areas and reorganizing exploitation based on livelihood problem solving; (2) supporting community capacity building through strengthening of the Fishing Union newly established; and (3) improving local livelihoods with participatory technology development for pen-culture. This paper introduces the participatory planning process and how its application is scaled up for larger effects in supporting community based resource management and local governance in the Tam Giang lagoon."
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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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".