Forest Resource Management and Utilisation through a Gendered Lens in Namibia
Bibliographic record
Abstract
The shift in forestry policy towards resource management and access rights from state control to local community control has been a welcome step towards sustainable forest management in Namibia. The policy acknowledges the direct dependence on natural environmental resources by the proportional majority of the population that live in the rural areas of Namibia. This study was aimed at performing gender analysis by identifying relationships of various groups to natural resources. The study further assessed the influence these relationships have on control, access and use of forest resources, as well as on natural resource management and the implications thereof on various forest management efforts in the country. Data were collected from seven community forest institutions in Namibia and analysed using the Harvard Gender Analytical Framework. The findings show a gendered differentiated knowledge, control and access to forest resources and unequal participation in leadership and governance. Furthermore, the results suggest that unequal power relations among minority and vulnerable groups affect access to and control of forest resources. This study proposes participation of both men and women in the management, protection, access and utilisation of forest resources, as this will contribute to sustainable forest management and economic development of all members of society.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".