The Social Basis of Vaccine Questioning and Refusal: A Qualitative Study Employing Bourdieu’s Concepts of ‘Capitals’ and ‘Habitus’
Bibliographic record
Abstract
This article is an in-depth analysis of the social nature of vaccine decision-making. It employs the sociological theory of Bourdieu and Ingram to consider how parents experience non-vaccination as a valued form of capital in specific communities, and how this can affect their decision-making. Drawing on research conducted in two Australian cities, our qualitative analysis of new interview data shows that parents experience disjuncture and tugs towards 'appropriate' forms of vaccination behavior in their social networks, as these link to broader behaviors around food, school choices and birth practices. We show how differences emerge between the two cities based on study designs, such that we are able to see some parents at the center of groups valorizing their decisions, whilst others feel marginalized within their communities for their decisions to vaccinate. We draw on the work of philosopher Mark Navin to consider how all parents join epistemic communities that reward compliance and conformity with the status quo and consider what this means for interventions that seek to influence the flow of pro-vaccine information through vaccine-critical social groups.
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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 | 0.034 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".