Assessing the Trans-Pacific Partnership, Volume 1: Market Access and Sectoral Issues
Bibliographic record
Abstract
After five and a half years of negotiations, the Barack Obama administration concluded the most ambitious free trade deal of the postwar era on October 5, 2015. The Trans-Pacific Partnership (TPP) is a comprehensive accord that encompasses provisions on lowering barriers to trade and investment in goods and services and also covers critical new issues such as digital trade, state-owned enterprises, intellectual property rights, regulatory coherence, labor, and environment. Like all trade pacts, the TPP elicited praise and criticism from economic interests in the United States and the other 11 participating countries: Australia, Brunei Darussalam, Canada, Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore, and Vietnam. Together the 12 TPP members account for nearly 40 percent of global GDP. For the United States, the TPP countries account for 36 percent of US two-way trade in goods and services.
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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 | 0.008 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".