Mapping Variation of Civil Society Involvement in EU Trade Agreements: A CSI Index
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
Civil society has apparently been granted an important role in the monitoring of the sustainable development chapters in the new generation European Union (EU) trade agreements. While a debate about the role and functioning of these civil society mechanisms is emerging, we lack a profound comparative analysis of the treaty provisions establishing them. In order to address this gap and to map the extent to which civil society is included in the agreements, a Civil Society Involvement (CSI) Index is developed inductively and applied to the ten relevant EU trade agreements. It concludes that although some form of template is used, large variation exists. A distinction is made between three categories of CSI score: high (Canada, Korea), medium (Georgia, Moldova, Vietnam, Ukraine), and low (Central America, Singapore, Peru-Colombia, Ecuador). The outcome also reveals interesting nuances within these categories and calls for further research on the rationale for and consequences of this variation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it