Constructing the Anti‐Vaxxer: Discursive analysis of public deliberations on childhood vaccination
Bibliographic record
Abstract
Abstract Public deliberation is a form of dialogue that allows members of the public to provide input on a policy issue. Public deliberation processes invite participants to engage with each other respectfully, learn about the topic and each other's perspectives, and then work together toward solutions to an issue that are broadly acceptable. In this article, we develop a discursive psychological analysis of public deliberation on the topic of childhood vaccination. In particular, we focus on how descriptions of a parent who did not have her children vaccinated were developed iteratively by a small group of deliberants; how these descriptions came to be accepted as factual; and how these descriptions came to be used to support normative claims about childhood vaccination. Our main argument is that we can develop a deeper understanding of deliberation processes if we understand participants' statements to be rhetorically organised. This is achieved by examining how descriptions of events or people that are relevant to the final conclusions of the group are developed in the course of deliberation; how they come to be accepted as factual and accurate by the group; and how they then become instrumental in supporting a final consensus position.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 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".