Champions of protection? A text-as-data analysis of the bilateral investment treaties of GCC countries
Bibliographic record
Abstract
Through the lens of state-of-the-art text-as-data techniques, this article examines the bilateral investment treaty (BIT) practice of the member states of the Gulf Cooperation Council (GCC).The analysis unveils two critical trends.First, GCC states are global champions of investment protection.In terms of protective features, their agreements are at par with the United States or Canada.In contrast to the latter, however, GCC states typically do not accompany their protective commitments with flexibility carve-outs.This has major implications for their investment policy.While GCC investors abroad enjoy unrivaled protection, the GCC states are also more exposed to investment claims than any other region.Second, notwithstanding similarities in their investment policy and partial convergence in treaty design, GCC states have yet to cultivate a uniform practice when it comes to investment treaty-making to speak with one voice in future negotiations with the European Union or the United States.
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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 | 0.022 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".