Public Health STI/HIV Surveillance: Exploring the Society of Control
Bibliographic record
Abstract
While Michel Foucault asserted that the sovereign style of rule had disappeared, instead replaced by a disciplinary society (wherein individuals were trained/domesticated in a variety of social institutions), years later, Gilles Deleuze recounted how this social structure had again changed. Within this new system, which Deleuze labelled the society of control, social networks have become so densely intertwined that it no longer matters whether or not someone is disciplined in accordance with social rules because now they are entrapped within a web that would more often than not ensure that socially appropriate trajectories are maintained. Using Deleuze's framework about the society of control, in this paper, we explore the current public health STI/HIV surveillance system. The outcome of this exploration is the suggestion that the system is, in fact, an example of a densely intertwined (rhizomatic) control society, and that it is maintained through the desires of the people.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.057 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".