HIV, Nursing Practice, and the Law: What Does HIV Criminalization Mean for Practicing Nurses
Bibliographic record
Abstract
HIV infection is not a legally notifiable disease at the national level in Canada; however, provincial and territorial officials voluntarily undertake notification to the Public Health Agency of Canada. A case study involving four community-based sites in Newfoundland and Labrador found that the absence of clear legislation concerning HIV testing presented challenges for nurses who had to interpret and comply with provincial legislation and agency policy while meeting the needs of test-seekers. This ambiguous messaging is part of other conflicting information about the availability of anonymous HIV testing that, along with other factors, may contribute to under-testing and under-diagnosis in the province. From a social justice perspective, developing a national HIV strategy and amending legislation to facilitate anonymous HIV testing might provide clearer direction to nurses and agencies, and promote public health by improving service delivery and increasing testing in under-tested, higher-risk-taking populations.
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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 | 0.012 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.031 |
| Scholarly communication | 0.015 | 0.024 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".