ILRI’s experience with the Crop and Goat Project in Tanzania from a gender perspective
Bibliographic record
Abstract
This paper focuses on synthesising ILRI's experience with the Crop and Goat Project (CGP) in Tanzania from a gender perspective.ILRI's part concerning gender activities in the CGP is a cross cutting issue.Therefore, it cut across other components and activities carried out by partners.As such, ILRI's experience cannot be described without referring to other components of the CGP.Some findings were identified which are worthwhile pursuing in future similar projects.For example, access to and control over assets and the products and proceeds gained from them increased the independence of male and female household members as they can now make decisions with little dependence on resources of others.The project has also been able to positively improve some of the key domains of gender empowerment, i.e. asset ownership, decisions-making ability and authority, independence, improved sense of worth, willingness and ability to question one's status and capacity to negotiate relationships and change labour patterns.Furthermore, the use of gender analysis in design, implementation and evaluation stages helped in providing an understanding of the complexity of gender relations and labour organization and how they shape household strategies and power dynamics, and subsequently the differential impact of the project on different members of a household.Finally, the various project activities have helped to clarify the need for new participatory approaches, i.e. empowerment framework and pathway, to define a multi-level empowerment conceptual framework including a carefully determined targeting strategy (like working with women's and special interest groups and youth, but also ensuring the engagement with men and boys), set empowerment goals, translate the framework and goals into a pathway, identify indicators of change, and assess success of projects in enhancing change, all in a participatory fashion.
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 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 | 0.002 |
| 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 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".