The Role of Community Share Ownership Trusts in Ensuring Sustainable Rural Livelihoods: The Case of Zimunya-Marange in Zimbabwe
Bibliographic record
Abstract
This study analysed the role of Community Share Ownership Trusts (CSOTs) in ensuring sustainable rural livelihoods in the Zimunya-Marange community of Manicaland Province in Zimbabwe. Qualitative research methodology was used while a case study design was utilised. Data was collected through key informant interviews, Focus Group Discussions (FGDs) and documentary search. The research found out that no projects had been embarked on by Zimunya-Marange CSOT since its official launch in July 2011. This was due to various reasons which included corruption, kinship challenges, lack of finances, lack of community involvement in project identification, top-down and paternalistic implementation of policies and political interferences. It also emerged from the study that full utilisation of CSOTs in the Zimunya-Marange community remains an uphill task with no projects being embarked on. The research concluded that there is need to involve communities in project identification as this will bring sustainable rural livelihoods.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".