<i>Water with larvae</i> : Hydrological fertility, inequality, and mosquito urbanism
Bibliographic record
Abstract
Aedes aegypti, the primary vector for dengue, chikungunya and zika, breeds mainly in stored/stagnant water and thrives in contexts of rapid urbanization in tropical countries. Some have warned that climate change, in conjunction with urbanization, could drive the proliferation of Aedes aegypti mosquitoes. In Colombia dengue has been endemic since the 1990s and the country had the highest number of cases of zika virus in the world after Brazil. Studies have found that domestic stored water contributes to high percentages of the total Ae. aegypti pupal population in Colombian urban sectors. In particular, neighborhoods where water service provision is intermittent are vulnerable to mosquito-borne diseases as water is stored inside households. This article draws on archival work, interviews, and entomological literature to reflect on the ways in which rapid urbanization in the context of armed conflict, infrastructural inequality, the absence of formal jobs, and specific water laws and regulations produce water and Aedes aegypti in the city. It offers an initial attempt to theorize water with larvae by focusing on two interrelated processes. First, the historical and geographic processes that underlie the production of stored water, which despite being treated can become a place of fertility where mosquitoes can flourish. Secondly, the processes by which water, mosquitoes, pathogens, and human bodies become interrelated. This entails thinking about some homes in Barranquilla as socioecological assemblages that are dynamically produced, socially and materially.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".