Public Engagement and Policy Entrepreneurship on Social Media in the Time of Anti-Vaccination Movements
Bibliographic record
Abstract
North America has experienced a resurgence of measles outbreak due to an unprecedentedly low Mumps-Measles and Rubella vaccination coverage rates facilitated by the anti-vaccination movement. The objective of this chapter is to explore the new online public space and public discourse using Web 2.0 in the public health arena to answer the question ‘What is driving public acceptance of or hesitancy towards the MMR vaccine?' More specifically, typologies of online public engagement will be examined using MMR vaccine hesitancy as a case study to illustrate the different approaches used by pro- and anti-vaccine groups to inform, consult with and engage the public on a public health issue that has been the subject of long-standing public debate and confusion. This chapter provides an overview of the cyclical discourse of anti-vaccination movements. The authors hypothesize that anti-vaccination, vaccine hesitant, and pro-vaccination representations on the online public sphere is reflective of competing values (e.g., modernism, post-modernism) in contemporary society.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".