Towards community benefits derived from mining : assessing the potential role of community development agreements in Zimbabwe
Bibliographic record
Abstract
Mining is a significant economic contributor in both developing and developed countries. The industry is responsible for the creation of cities, communities, industries, employment, and infrastructure. Although mining has positive economic benefits, there are negative social, economic, and environmental consequences of mining. There are host communities that are yet to see the benefits of mining activities. This has placed community development in mining areas at discussions of the benefits of mining outside the economy. Zimbabwe as a developing country has placed mining at the centre of its development agenda. With the industry receiving investments. This begs the question of whether communities will receive equitable benefits from continued mining operations. To address the issue of community development, Zimbabwe enacted the Indigenisation and Economic Empowerment Act. With the aim of providing measures for the economic empowerment of indigenous Zimbabweans. This was to be achieved by ensuring that indigenous Zimbabweans had a controlling stake in businesses. To this end community share ownership trusts were promulgated into the indigenisation laws. These trusts were to receive a 10% ownership share in mining businesses and financial pledges to capitalize the trusts. The success of CSOTs has been a mixed bag with most of the CSOTs non-functional. With the amendments to the Indigenisation laws, the legal position of CSOT is not clear. This study examines the potential of community development agreements (CDAs) as a tool that ensures communities receive equitable benefits. It investigates this potential by analysing the Zimbabwean legal framework. It looks at CDA as a tool that might be utilized in Zimbabwe by looking at the advantages and disadvantages of CDAs. This also includes examining how other jurisdictions have adopted CDAs. In countries such as Australia and Canada, the negotiation of CDAs has become standard practice for all new resource development projects. This study will examine the approaches taken by Australia, Canada, and South Africa into incorporating CDAs into their frameworks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".