Old habits die hard: The need for feminist rethinking in global food and agricultural policies
Bibliographic record
Abstract
A number of global initiatives designed in recent years address global food security and aim to reduce the vulnerability of small-scale and peasant farmers in the face of expanded transnational investment in large-scale agriculture and land acquisition. While there have been efforts to consider women within such initiatives, global governance institutions often overlook the complex gendered dimensions of food systems alongside agricultural land and labour markets. Although institutions emphasize the need for “women’s empowerment”, few policy recommendations have considered its practical application. Indeed, many governance initiatives that address food security or promote land security tend to depoliticize inequalities, which shows the importance of feminist food studies from the perspective of global food and land policy. Integrating a feminist food studies lens to the global governance of food and agriculture allows us to explore the complexities of gendered relations in agricultural practices. A more complete understanding of everyday material, socio-cultural and corporeal experiences within agricultural practices provides a greater understanding of the mechanisms by which gender relations structure food production, land ownership, resource access and governance processes. By using a feminist food studies lens we see a more complete picture of the realities of local resource management and the potential implications for global policymakers such as the World Bank, the Food and Agriculture Organization of the United Nations (FAO) and the United Nations Committee for World Food Security (CFS). Through this framework, I illustrate how feminist analyses challenge conventional approaches to gender in global policymaking related to food and agricultural production.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".