Looking for an answer under the shadow−Life narratives among people living with HIV/AIDS and their caregivers
Bibliographic record
Abstract
In Taiwan, the number of cases of newly diagnosed AIDS is increasing every year, and those diagnosed tend to be younger people. Antiretroviral therapy has increased the overall survival rate; however, people living with AIDS face many problems in adapting to this lifelong illness. In this study, we investigate the life narrative and interactions of people living with AIDS and their caregivers. Using a narrative approach, 12 participants, consisting AIDS patients and their caregivers, were invited to one-on-one in-depth interviews to explore their life experience. The study’s results identified five themes: an inability to speak to others about AIDS, isolating oneself from the world, promises that cannot be given, condemnation from others for having AIDS, and having an unknown future. The stories were based on these five themes. Understanding the life narratives of those with AIDS can help to address and resolve the problems associated with living with AIDS. When medical science and technology are advancing, the Internet, media, and other more directed education have enabled easy acquisition of AIDS-related knowledge. AIDS has become a chronic disease. However, the public still cannot accept AIDS. People living with AIDS and their caregivers have not been able to walk out of the shadow of the disease, as even for those who are willing to reveal their illness, the results do not always turn out well. People living with AIDS and their caregivers can only secretly take care of and encourage each other.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.005 | 0.007 |
| 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".