Evolution of an International Research Collaborative in HIV and Rehabilitation: Community Engaged Process, Lessons Learned, and Recommendations
Bibliographic record
Abstract
BACKGROUND: Human immunodeficiency virus (HIV) is increasingly considered a chronic illness. Rehabilitation can address some of the health challenges of people living with HIV (PLWHIV); however, the field is emerging. OBJECTIVES: We describe our experience establishing an international collaborative in HIV and rehabilitation research using a community engaged approach. METHODS: The Canada-UK (now Canada-International) HIV and Rehabilitation Research Collaborative (CIHRRC) is a network of more than 85 PLWHIV, researchers, clinicians, and representatives from community-based organizations collectively working to advance knowledge on HIV and rehabilitation. RESULTS: Activities and outcomes include facilitating knowledge transfer and exchange (KTE), establishing and strengthening multistakeholder partnerships, and identifying new and emerging priorities in the field. Collaboration and support from community organizations fostered mechanisms to raise the profile of, and evidence for, rehabilitation in the context of HIV. Considerations of scope, partnership, and sustainability are important. We offer recommendations for developing an international community-academic-clinical research collaborative using a community-engaged approach. CONCLUSIONS: Research networks involving community-academic-clinical partnerships can help to promote KTE and establish a coordinated response for addressing priorities in an emerging field.
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 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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".