Family belief system influences on COVID-19 vaccination decisions among First Nations Australians.
Bibliographic record
Abstract
COVID-19 has changed the world in many ways, and while some families were divided by geographical distances and mandatory "stay-at-home" orders during lockdowns, others became fractured owing to decisions about vaccination. This novel exploratory qualitative study questions how family systems and COVID-19 attitudes influenced the vaccine decisions of 10 Australian First Nations individuals. Despite the significance of family in decision making, the advice of respected family members became insignificant when nonvaccination resulted in the undesirable consequences of coercive government mandates. The thematic analysis identifies themes of choice, repeated wrongs of the past, trust, relationships, isolation, and parenting anxiety. It also demonstrates the resiliency of First Nations families, evident in the creative ways family systems adapted during the pandemic. This study has implications for governments and health service planning toward community COVID-19 support systems in a postpandemic context and provides ideas for further research into First Nations service provision during health crises. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".