Mobilization in the European Public Sphere: The Struggle Over Genetically Modified Organisms
Bibliographic record
Abstract
Abstract The objective of this study is to investigate the extent to which supporters and opponents at the European Union (EU) level strive to mobilize the public with regard the issue of genetically modified organisms (GMOs). To this end, it addresses two research questions: First, to which concepts do GMO opponents and supporters refer when seeking to mobilize the public? Second, do GMO opponents and supporters differ in the coherence of the concepts they use to attain public mobilization? The empirical findings show that the pro‐GMO coalition is composed of biotechnology companies as well as representatives of Argentina, Canada, the United Kingdom, the United States, and the World Trade Organization. The anti‐GMO coalition consists of environmental nongovernmental organizations and representatives from most of the EU member states. Altogether, the anti‐GMO coalition has been more coherent in the concepts they invoke in the last few years.
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.008 | 0.003 |
| 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".