Building Community for Those Living With HIV: Co-Empowerment and Participatory Action Research
Bibliographic record
Abstract
The Calgary HIV Social Society (CHSS) self-determined and organized several social-recreational monthly events to reduce and understand the effects of social isolation and stigma that people living with HIV face every day. It has been found that COVID-19 had impacted the lives of people living with HIV by creating significant isolation for those already stigmatized because of living with HIV. Using a Participatory Action Research (PAR) methodology and focus group at the end of the events, the research showed how COVID 19, and the related concurring isolation has impacted the lives of people living with HIV. The research included three in-person social gatherings with a total of 60 participants living with HIV attending and a focus group with 10 participants. The social gatherings around the city of Calgary, Alberta showed how the possibility of having a safe space and being supported by people who live with similar systematic barriers, buffers the detrimental, social stigmatization of living with HIV and its secrecy. The research brought forth a better understanding on how social connection (including on-line support) during COVID-19 for persons living with HIV increased their general sense of belonging, reduced stigma and was a protective factor for their overall mental health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.070 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".