Bisphenol A : how media and special interest groups influenced the ban on BPA / by Lawrencia Ntiri.
Bibliographic record
Abstract
Recently, there has been great dispute about the effects of bisphenol A (herein referred to \nas BPA) leaching into baby bottles. This led to Canada being the first country to ban \nBPA in baby bottles in April of 2008 (CBC, 2008). This decision elicited criticism from \nthe USA Food and Drug and Administration (FDA) but according to Health Ministry \nTony Clement, ?it is better to be safe than sorry? (CBC, 2008). It is this uncertainty of \nthe effects due to the exposure of BPA that has fueled an interest for the topic of this \npaper. The purpose of this paper is to do a policy analysis in regards to BPA and the \neffects of industry sponsored research, specialty groups and the role of the media \n(newsprint). The next section of this paper looks at the methodology employed to \nidentify sources, followed by a detailed look at how policy analysis is conducted in \nCanada and the key research findings on BPA from special interest groups coupled with \nthe role that the media played in the decision to ban BPA in Canada. The last section \ndescribes the relevance and implications of the role played by these sources in public \nhealth and the future significance that these findings will have on public health practice, \npolicy and research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".