Picturing gendered water spaces: A textual approach to water in rural Sierra Leone
Bibliographic record
Abstract
Photographs taken by women and men through a photovoice research project about conservation in rural Sierra Leone identify water as an important community resource. Water is crucial for survival. In this rural African context, women are responsible for collecting and managing domestic water. The points of access to water-taps, rivers, and wells-occupy and construct particular spaces. These spaces are texts rich with meaning: they can be interpreted in order to learn something about how water is used. Drawing from visual studies and theories of space and place, I examine photographs of water spaces taken by participants in the photovoice project to better understand and particularise the gendered nature of water in Sierra Leone. My interpretation of the arrangement of space and objects depicted in the photographs makes connections between water spaces and the social relationships within which they are located. Incorporating my own research and volunteer experiences in Sierra Leone, I illustrate nuanced perspectives about social roles and practices with water and water infrastructure. Water spaces are textual entry points to challenge, engage and explore the gendered use, consumption, and management of water. Water spaces play an important role in the politics, access and control of water.
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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 | 0.000 |
| 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) | 0.001 | 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".