“SO FAR IT’S BEEN CHOOSING WHICH SIDE EFFECTS I WANT OR I CAN DEAL WITH”: A GROUNDED THEORY OF THE HIV TREATMENT SIDE EFFECTS AMONG PEOPLE LIVING WITH HIV
Bibliographic record
Abstract
Objective: we present the findings of a grounded theory study designed to gain a critical understanding of the experience of side effects of treatment for HIV. Method: this study was undertaken in Canada’s capital region with 50 participants through a questionnaire. Data analysis began with the initial line-by-line coding of key interviews. After it were categorized. Results: three main categories emerged from the data: the side effects, the experience, and the connections. Conclusion: the first category suggests that we need to change how we think about side effects in order to take into account the context in which they are experienced as well as the types and nature of side effects. The second category puts forward the idea that the experience of side effects is composed of three interrelated processes: becoming with, living with, and dealing with. Finally, the third category points to new connections that are formed with people, things and systems in the presence of side effects.Descriptors: Adverse Effects; Antiretroviral; ART; Grounded Theory; HIV; Side Effects; Toxicity.
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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 | 0.035 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".