Exploring attitudes toward taxation of sugar-sweetened beverages in rural Michigan
Bibliographic record
Abstract
BACKGROUND: While policies to address "obesity" have existed for decades, they have commonly focused on behavioral interventions. More recently, the taxation of sugar-sweetened beverages is gaining traction globally. This study sought to explore individuals' attitudes and beliefs about sugar-sweetened beverages being taxed in a rural Michigan setting. METHODS: This qualitative study was conducted using critical policy analysis. Data were collected in 25 semi-structured, audio-recorded interviews with adult Michiganders. Following data collection, transcripts were coded into themes using NVivo software. RESULTS: Four themes emerged in participants' perspectives regarding sugar-sweetened beverages being taxed: resistance, unfamiliarity, tax effects, and need for education. While some participants were unfamiliar with sugar-sweetened beverage taxes, many viewed taxation as a "slippery slope" of government intervention, which invoked feelings of mistrust. In addition, participants predicted a sugar-sweetened beverage tax would be ineffective at reducing intake, particularly among regular consumers, who were frequently perceived as mostly low income and/or of higher weight. CONCLUSIONS: Further research is needed to explore perceptions of sugar-sweetened beverage taxes in different geographic areas in the USA to examine how perceptions vary. Policymakers should be aware of the potential implications of this health policy with respect to government trust and stigma towards lower income and higher-weight individuals.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".