COVID-19 Vaccination Uptake and Hesitancy in a National Sample of Australian Gay and Bisexual Men
Bibliographic record
Abstract
Minority groups may face additional barriers to vaccination. In April–June 2021, we assessed the level of COVID-19 vaccination and willingness to be vaccinated in a national, online survey of 1280 gay and bisexual men in Australia. Over a quarter of the sample (28.0%) had been partially or fully vaccinated, and 80.0% of the unvaccinated were willing to be vaccinated. Vaccination was independently associated with older age, being university educated, and HIV status (with HIV-positive participants being more likely and untested participants less likely to be vaccinated). Willingness to be vaccinated was independently associated with living in a capital city and being university educated. Those who had lost income or their job due to COVID-19 were less willing to be vaccinated. Our results suggest encouraging COVID-19 vaccination among those with lower levels of health literacy and supporting those who have experienced financial stress because of the pandemic.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".