Becoming visible, being heard? Community interpretations of first-person stories about living with HIV/AIDS in Quebec daily newspapers
Bibliographic record
Abstract
In this article, we highlight first-person accounts of living with HIV/AIDS that have appeared in daily newspapers in Quebec and raise a number of questions about how these accounts are received – who is listening and how? Recent Canadian criminal trials of HIV-positive people who are alleged to have knowingly exposed sexual partners to HIV serve as a conjuncture against which we address the culture of HIV/AIDS testimonials and analyse both production and reception of these stories. Drawing on the VIHSIBILITÉ project, we ask what discursive forms and social conditions are likely to favour media discourses that foster a sense of social solidarity toward people living with HIV/AIDS. We argue that community interpretations of storytelling and closer examination of how testimonials are received may provide new tools for critically conceptualizing how HIV-positive persons can be better heard as they speak about their lives.
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How this classification was reachedexpand
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".