Analysis of the Water Management System in a Mountain Territory, the Case of the Nekor Watershed, Rif, Morocco
Bibliographic record
Abstract
Integrated management has become an essential approach for sustainable water resource management. However, if the concept seems relevant, its concrete application at the local scale has yet to be undertaken, with all the difficulties related to the complexity underlying the issue. The Rif is characterized by the multiplication and interdependence of uses, the overlapping responsibilities between public and private actors, the superposition of sectoral regulations, which raises the following question: Is the current management of water resources in the Rif mountains suitable for a future constraining on several aspects: socio-economic and climatic? The general objective of this work is to analyze the current management of water resources scientifically, politically, institutionally and legally, to identify the innovations needed for sustainable management and adaptation to climate change in the Rif Mountains. The systemic approach allowed us to highlight and prioritize the structuring elements of water management in the Nekor basin and their interactions. The crossing of hydrological data with socio-economic data allowed us to have a global and multidisciplinary vision of both uses and water resources, and of all the components of the system’s environment, the interdependencies influence the management system, despite the complexity accentuated by the lack of data. Indeed, it was difficult to identify the influence of each component. The current degradation of resources is only a reflection of a socio-cultural crisis that can only be remedied by a change in mentality, economic development, social equity and more solidarity between the city and rural 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".