Challenges of Water Crisis on Women’s Socio-Economic Activities in the Buea Municipality, Cameroon
Bibliographic record
Abstract
Although water is a basic human right, it is also essential for achieving sustainable development and povertyalleviation. The economic cost of water crisis can be very severe for women in low income societies whoseactivities revolve around water, ranging from domestic to economic needs. This paper looks at the watersituation of a rapidly growing town, Buea, in the SW Region of Cameroon, and how it poses a challenge towomen’s socio-economic efforts. The results presented are based on analysis of field data collected from 177water users and stakeholders of the study area through a stratified random sampling technique and analyzed withthe help of SPSS and Epi softwares. Findings reveal that the water crisis in Buea is human- induced and womenare the most affected because their socioeconomic lives are highly dependent on water. While this situationdirectly affects the quality/quantity of water, and the amount of time women spend on water collection, it alsohas far-reaching implications on the socio-economic welfare of the municipality.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".