When `Silence = Death', Keep Talking: Trust, Control and the Discursive Construction of Identity in the Canadian HIV/AIDS Treatment Domain
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
When we trust someone, it is because we believe there is something about his or her behaviour that makes it predictable. From a control perspective, it means that their behaviour is subject to some type of control mechanism. Building on this connection, we argue that trust and control are closely related and, in fact, that different forms of trust are associated with different types of control. We present a model explaining the control mechanisms associated with three different forms of trust commonly proposed in the literature. Based on a three-year study of the Canadian HIV/AIDS treatment domain, we then explore in more detail the dynamics of identification-based trust and normative control. Our findings reveal the discursive foundations of generating identification-based trust
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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 | 0.001 |
| 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