Women and Economic Production: Towards Sustainable Livelihoods in Zimbabwe
Bibliographic record
Abstract
Persistent drought and economic collapse in Zimbabwe have seen most, if not all, rural women shifting from the receiving end to the giving end. Rural women have since initiated several livelihood activities to make ends meet, as they are the most vulnerable whenever they are left to look after children at home. The paper aims to examine rural livelihoods and how they contribute to economic production in Ward 5 of Bikita district. A mixed design in the form of a case study was employed in this study. Systematic random sampling was used to select 40 households, which provided data for the study out of 409 households in Ward 5. The study used questionnaires and semi-structured interviews as data collecting instruments. Several livelihood activities were noted in the ward including seasonal farming, gardening, community-based and money lending and saving schemes (fushai), informal trading, and petty trading as selling thatch grass and firewood, among others. However, climate change and drought, economic crisis, lack of capital and poor soils and poor farming methods were some of the constraints faced in rural livelihoods. The paper concludes with several recommendations for eradicating rural livelihood challenges.
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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 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".