Manufacturing discontent: The rise to power of anti-TTIP groups
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Old beliefs, new symbols, new faces. In 2013, a small group of German green and left-wing activists, professional campaign NGOs and well-established protectionist organisations set up deceptive communication campaigns against TTIP, the Transatlantic Trade and Investment Partnership between the European Union and the United States. Germany's anti-TTIP NGOs explicitly aimed to take German-centred protests to other European countries. Their reasoning is contradictory and logically inconsistent. Their messages are targeted to serve common sense protectionist demands of generally ill-informed citizens and politicians. Thereby, anti-TTIP communication is based on metaphoric messages and far-fetched myths to effectively evoke citizens' emotions. Together, these groups dominated over 90 percent of online media reporting on TTIP in Germany. Anti-TTIP protest groups in Germany are not only inventive; they are also resourceful. Based on generous public funding and opaque private donations, green and left-wing political parties, political foundations, clerical and environmental groups, and well-established anti-globalisation organisations maintain influential campaign networks. Protest groups' activities are coordinated by a number of former and current green and left-wing politicians and political parties that search for anti-establishment political profiles. As Wallon blockage mentality regarding CETA, the trade and investment agreement between the European Union and Canada, demonstrates, Germany's anti-TTIP groups' attempts to undermine EU trade policy bear the risk of coming to fruition in other Eurpean countries. And they carry the real possibility of depriving EU Member States from new economic opportunities and economic convergence. (...)
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it