Examining the relationship between women’s empowerment and food security in low- and middle-income countries: A narrative review
Bibliographic record
Abstract
Prior research has proposed women’s empowerment in agriculture as one of the strategies to mitigate household and individual food insecurity within nutrition-sensitive agriculture interventions. Yet the current evidence on this relationship is inconclusive requiring further exploration to elucidate the pathways through which women’s empowerment is associated with food security. This literature review aimed to draw insights from studies on women’s empowerment and food security and identify the related challenges and best practices in this pathway within the context of low- and middle-income countries. Scopus, PubMed, and Global Health databases were searched, as well as reference lists for articles. In total 21 articles met the inclusion criteria. Findings suggest a mixed relationship between women’s empowerment and food security and highlighted a gap in conceptualizing and operationalizing food security. To achieve sustainable food security, particularly in the aftermath of COVID-19, researchers and stakeholders must respond to the broader context of gender systems that restricts women’s rights and access to productive resources to achieve food security.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".