Cooperation Between the Countries Around Lake Chad Basin: An Assessment
Bibliographic record
Abstract
The Lake Chad Basin is an important natural resource that cut across several countries among which are Nigeria, Niger, Chad, Cameroon, Algeria, Central African Republic and Libya. In a bid to ensure the effective utilization of the water of the basin, the countries have engaged in cooperation through the creation of Lake Chad Basin Commission. The Commission has embarked on certain programmes to achieve its aim, hence the need for the assessment of the cooperation between countries around the basin. This work is an assessment albeit critical, of the cooperation within that commission. Part of the findings of the paper is that the Lake Chad Basin Commission has been unable to achieve objectives it sets for itself. Certain challenges which include but not limited to, lack of political will among members of the Commission, reoccurrence of violence, lack of adequate finance, poor organizational structure, cultural and language difference have worked either individually or in tandem to frustrate the realization of what appeared ab initio to be the noble and lofty goals of the commission. The contention of the paper therefore, is that the Lake Chad Basin Commission member states should reflect and modernize its initial objectives and operationalize the ingredients of its cooperation to derive the positivity laden in the agreements or else risk the extinction of an important water resource. Data for the paper were sourced using both primary and secondary. Other variables and methodological approaches like analysis, discourse, and accountability and of course, chronological delineations were generously employed in reconstruction. Study of this nature is multidisciplinary and knitted in the International studies, Security studies, and Diplomatic and Military history.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".