Gender in the World Food Economy: Inequitable Transformation of Haiti’s Food Economy
Bibliographic record
Abstract
Over the past five decades, agricultural trade liberalization and integration into the global food system have undermined gender equality, women’s empowerment, and food security in Haiti. International actors who design agricultural policies are aware of gendered contributions to Haitian food security, yet ignore this knowledge to privilege an ideological belief that trade liberalization and structural adjustment programs will advance gender equality. I argue that agriculture and food policies must treat gender roles and responsibilities as constitutive to the solution by recognizing their critical contribution to the structure of Haitian agrarian society and accordingly food security. I advance this claim by analyzing scholarly literature, institutional documents, and interviews with interlocutors ( n = 292) from rural, peri-urban, and urban settings across Haiti to document how: 1) dominant narratives support an ideological belief that trade liberalization will advance gender equality; 2) integration of Haiti’s local food economy into the world food economy demands the reorientation of gendered labour; 3) women must participate in a system that while purporting to improve food security, ultimately diminishes their nutrition and social, economic and political wellbeing. This research documents that policies designed to globalize Haiti’s food economy on the premise of improving food security actually force women to abandon agricultural production and intensify their labour in less lucrative distribution and consumption roles of imported goods. This analysis documents that the transition ultimately reifies gender inequalities, heighten food insecurity, and contributes to feminist food scholarship.
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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 | 0.002 | 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 | 0.001 | 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 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".