<i>Water with larvae</i> : Hydrological fertility, inequality, and mosquito urbanism
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it