Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A significant amount of research has been conducted on food security in Ethiopia, yet few reviews and syntheses areavailable. This paper reviews the research indexed on the Web of Science platform from 2005 until 2016 on foodsecurity in Ethiopia. It presents a summary of research, analyzes trends and outlines knowledge gaps as well aspotential areas for future research. For improved readability, the review categorized and synthesized research intoeight thematic research areas: (1) climate change and rainfall, (2) food science and technical agricultural studies, (3)inequalities, (4) individual-level studies, (5) large-scale land acquisitions and land grabs, (6) natural resourcemanagement and water, (7) social services and policy, and (8) vulnerability assessments and methods. The resultssuggest that while important research is being done, there is a greater need to expand our research on inequalities, toengage with new manifestations of food insecurity, to critically reflect on our measures and metrics of food security,and to engage in interdisciplinary approaches. Regular reviews and syntheses of the literature are required to betterenable researchers to build upon existing knowledge to identify key knowledge gaps and new research directions.
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.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it