Gender identities, water insecurity, and risk: Re‐theorizing the connections for a gender‐inclusive toolkit for water insecurity research
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
Abstract Informed by decades of literature, water interventions increasingly deploy “gender‐sensitive” or even “gender transformative” approaches that seek to redress the disproportionate harms women face from water insecurity. These efforts recognize the role of gendered social norms and unequal power relations but often focus narrowly on the differences and dynamics between cisgender (cis) men and women. This approach renders less visible the ways that living with water insecurity can differentially affect all individuals through the dynamics of gender, sexuality, and linked intersecting identities. Here, we first share a conceptual toolkit that explains gender as fluid, negotiated, and diverse beyond the cis‐binary. Using this as a starting point, we then review what is known and can be theorized from current literature, identifying limited observations from water‐insecure communities to identify examples of contexts where gendered mechanisms (such as social norms) differentiate experiences of water insecurity, such as elevating risks of social stigma, physical harm, or psychological distress. We then apply this approach to consider expanded ways to include transgender, non‐binary, and gender and sexual diversity to deepen, nuance and expand key thematics and approaches for water insecurity research. Reconceptualizing gender in these ways widens theoretical possibilities, changes how we collect data, and imagines new possibilities for effective and just water interventions. This article is categorized under: Human Water > Value of Water Engineering Water > Water, Health, and Sanitation Human Water > Water as Imagined and Represented Human Water > Methods
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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