An Intersectionality Analysis of Gender, Indigeneity, and Food Insecurity among Ultrapoor Garo Women in Bangladesh
Bibliographic record
Abstract
Across a number of indicators, Indigenous women worldwide experience poorer health and less access to resources and services than either non-Indigenous women or Indigenous men. This paper is specifically concerned with Indigenous women’s experiences of food insecurity, a key determinant of health. We analyse the links between gender, indigeneity, and food insecurity among a small group of ultrapoor Indigenous Garo women in Bangladesh. We demonstrate how the politics of indigeneity, both its erasure by the state and its place in the Indigenous rights movement, intersect with gender to shape the experiences of food insecurity among ultrapoor rural Garo women. We identify how indigeneity intersects with cultural marginalization and political violence in experiences of food insecurity and highlight the unique challenges Garo women face in relation to accessing culturally appropriate and sufficient food. Ultrapoor Garo women are in need of poverty alleviation attention from both Indigenous organizations, who market their cultural capital, as well as governmental and non-governmental aid and development programs that offer such assistance to vulnerable Bengali women.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 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".