Ecologies of security: On the everyday security tactics of female sex workers in Nairobi, Kenya
Bibliographic record
Abstract
This paper highlights important environmental dimensions of HIV vulnerability by describing how the sex trade operates in Nairobi, Kenya. Although sex workers there encounter various forms of violence and harassment, as do sex workers globally, we highlight how they do not merely fall victim to a set of environmental risks but also act upon their social environment, thereby remaking it, as they strive to protect their health and financial interests. In so doing, we illustrate the mutual constitution of 'agency' and 'structure' in social network formations that take shape in everyday lived spaces. Our findings point to the need to expand the focus of interventions to consider local ecologies of security in order to place the local knowledges, tactics, and capacities that communities might already possess on centre stage in interventions. Planning, implementing, and monitoring interventions with a consideration of these ecologies would tie interventions not only to the risk reduction goals of global public health policy, but also to the very real and grounded financial priorities of what it means to try to safely earn a living through sex work.
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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 | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".