Planificación participativa para la creación de un área protegida costera: “Cuenca media del arroyo Solís Grande”, Canelones – Uruguay
Bibliographic record
Abstract
This work displays the results of a case study included in an international research project, which studies deliberative processes of management that incorporate local and traditional knowledge, and articulate diverse interests and values associated with ecosystem services and biodiversity. The case study focuses on the creation process of the first area to integrate the SDAPA (Departmental System of Environmental Protection Areas) of Canelones: "Cuenca Media del Arroyo Solís Grande". The study was carried out with an Integrated Coastal Management approach. Data collection was done through semi-structured interviews with members of the administrative commission of the area who were protagonists of the planning process. This work displays a systematization of the deliberative processes that led to the creation of the area and its administrative commission, identifying the reasons that motivated the process and the methods used to achieve this goal. The results show the barriers and facilitators of the implementation process that may shape upcoming developments in the area. Since this was a pioneering process, this work systematized the lessons learned that are relevant for future SDAPA area creation processes or similar processes in other coastal areas. Based on this case study, ideas and alternatives are proposed regarding important challenges of Integrated Coastal Management: the integration of different bodies of knowledge, the effective participation of key stakeholders, the facilitation or mediation of conflicts of interest, and the involvement of the private sector in conservation initiatives.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".