Adjusted to reality? Mandate and functioning of the General Integral Commission of the Grande Tárcoles Rivershed in Costa Rica
Bibliographic record
Abstract
The Grande de Tárcoles River in Costa Rica is one of the most polluted and degraded river basins in Central America. At the same time Costa Rica is a country internationally recognized for progressive environmental management. At least on paper, the country fosters sustainable river management in the form of integrated water resources management (IWRM). In the specific case of the Grande de Tárcoles River there is the General Integral Commission of the Grande Tárcoles River basin (CGICRGT) assigned to manage the basin in an integral manner. How this works in practice has so far not been investigated. Therefore, in this article we examine the formal and informal design and working practices of the CGICRGT and determine which type of river basin organization (RBO) it represents. Based on a mixed-method approach combining document analysis with semi-structured qualitative interviews we found that the CGICRGT contains elements of both, an agency RBO and a coordinating RBO. Although coordinating the river management works well to a certain extent, critical challenges remain that hinder a fully successful management of the basin and in consequence the improvement of its ecological status. Amongst them count the overlapping responsibilities of national and local institutions, the missing participation of some important institutions, the lack of financial and personnel resources, slow progress in terms of time, and a lack of motivation of the participating institutions. Although the CGICRGT presents an excellent platform for the integrated management of the Tárcoles river basin its progress will be too slow and its impact too small as long as all participants do not prioritize its work and integrate and motivate all important actors.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".