Managing Funding Constraints in Frontline HIV/AIDS Social Services in Canada
Bibliographic record
Abstract
The need for HIV/AIDS social services continues to grow; workers confront increasingly complex client needs, and changes to government funding policies present new challenges to frontline social workers. Drawing on a qualitative study involving 59 social service practitioners in Ontario, Canada, this paper explores how frontline workers experience policy changes that restrict government funding. Respondents report that many of their clients are focused on immediate needs, such as food or shelter, rather than their HIV infection. They describe how funding cuts can introduce uncertainty into their work, and they note that their work now feels more bureaucratic and less caring. More organizational work is required to access resources and workers often find themselves playing a gate-keeping role. The paper describes how workers try to minimize the negative policy changes they perceive, but some of their ways of managing increased demand can actually end up increasing barriers to clients. Findings suggest that changing policies can undermine efforts to involve people with HIV in service delivery and to advocate for changing the social context of the epidemic.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".