Agriculture: Future Scenarios for Southern Africa
Bibliographic record
Abstract
This case study examines the agricultural policies that Zimbabwe uses to ensure food security and how national efforts affect the future scenarios of regional food security in Southern Africa. The Zimbabwean agricultural system is the most publicly assisted sector of the economy. Its output does not, however, match the extent of the support it receives, as the country’s food security situation is worsening. The case study critically analyses field data in the hyperinflationary economic environment that currently pertains in Zimbabwe. The results of the case study indicate that Zimbabwe’s food security is on a steep decline, implying a negative contribution to Southern Africa’s food security. The case study recommends additional domestic and trade policy measures to improve investment and development in agriculture for the benefit of Zimbabweans and the region as a whole. © 2009 International Institute for Sustainable Development (IISD) Published by the International Institute for Sustainable Development International Institute for Sustainable Development 161 Portage Avenue East, 6th Floor Winnipeg, Manitoba Canada R3B 0Y4 Tel: +1 (204) 958-7700 Fax: +1 (204) 958-7710 E-mail: info@iisd.ca Web site: http://www.iisd.org/ Agriculture: Future Scenarios for Southern Africa – A Case Study of Zimbabwe’s Food Security Evangelista Mudzonga Tendai Chigwada Agriculture: Future Scenarios for Southern Africa – A Case Study of Zimbabwe’s Food Security trade knowledge network
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 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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".