Beyond the horizon: The Greater Involvement of People Living with HIV/AIDS in western Canadian communities.
Bibliographic record
Abstract
The implementation of the Greater Involvement of People living with HIV/AIDS (GIPA) in northern communities can have many challenges. This research looks at the process around the implementation of GIPA in these communities. This includes looking at GIPA within the context of the definition of rural and north, and the social determinants of health that impact populations infected and affected by HIV/AIDS. Using focus groups, service providers in western Canadian communities were asked specific questions regarding the implementation of GIPA in their communities. By applying this qualitative method I was able to explore the research using an Autoethnographical lens. Stories were shared and ideas were generated for strategies to address the issues around implementing the GIPA principle. A thematic analysis looked at the importance of GIPA the benefits of the involvement of people living with HIV/AIDS (PHA's) the challenges of working with PHA's the existing barriers to PHA involvement skills and capacities and, the assistance needed for successful implementation. The results indicated that in smaller northern and rural communities the barriers exceed the capacity of AIDS service organizations to use GIPA to its greatest potential. Recommendations of this study include: advocating for a more supportive government increased funding opportunities and determining a way to share the experiences of GIPA among other rural and/or northern Canadian communities. --Leaf iii.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".