The emergence of ethical issues in the provision of online sexual health outreach for gay, bisexual, two-spirit and other men who have sex with men: perspectives of online outreach workers
Bibliographic record
Abstract
BACKGROUND: Mobile applications and socio-sexual networking websites are used by outreach workers to respond synchronously to questions and provide information, resources, and referrals on sexual health and STI/HIV prevention, testing, and care to gay, bisexual and other men who have sex with men (GB2M). This exploratory study examined ethical issues identified by online outreach workers who conduct online sexual health outreach for GB2M. METHODS: Semi-structured individual interviews were conducted between November 2013 and April 2014 with online providers and managers (n = 22) to explore the benefits, challenges, and ethical implications of delivering online outreach services in Ontario, Canada. Interviews were digitally recorded and transcribed verbatim. Thematic analyses were conducted, and member-checking, analyses by multiple coders, and peer debriefing supported validity and reliability. RESULTS: Four themes emerged on the ethical queries of providing online sexual health outreach for GB2M: (a) managing personal and professional boundaries with clients; (b) disclosing personal or identifiable information to clients; (c) maintaining client confidentiality and anonymity; and (d) security and data storage measures of online information. Participants illustrated familiarity with potential ethical challenges, and discussed ways in which they seek to mitigate and prevent ethical conflict. CONCLUSIONS: Implications of this analysis for outreach workers, researchers, bioethicists, and policy-makers are to: (1) understand ethical complexities associated with online HIV prevention and outreach for GB2M; (2) foster dialogue to recognize and address potential ethical conflict; and (3) identify competencies and skills to mitigate risk and promote responsive and accessible online HIV outreach.
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 | 0.044 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.033 | 0.035 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".