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Record W2945781829 · doi:10.3968/10819

The Role of Community Share Ownership Trusts in Ensuring Sustainable Rural Livelihoods: The Case of Zimunya-Marange in Zimbabwe

2019· article· en· W2945781829 on OpenAlexvenueno aff
Vimbai Georgina Chikosi, Jeffrey Kurebwa

Bibliographic record

VenueCanadian social science · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodEconomic growthRural communityFocus groupIdentification (biology)KinshipPoliticsPaternalismBusinessPolitical scienceSustainable communityPublic relationsSustainable developmentMarketingEconomicsGeographyAgricultureLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.220
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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