Debate 2016: To TPP or Not TPP? Should the U.S. Join the Trans-Pacific Partnership and Other International Trade Agreements?
Bibliographic record
Abstract
Panel discussion given at Debate 2016 Symposium conducted at the Maurice A. Deane School of Law, Hempstead, New York. Transcribed by Haley Trust, Journal of International Business and Law. The TPP is an international trade agreement between twelve Pacific Rim nations including the United States. The other nations that'll join the TPP are Japan, Malaysia, Vietnam, Singapore, Brunei, Australia, New Zealand, Canada, Mexico, Chile, and Peru. Combined, the economies of these countries in the TPP have a combined population of eight hundred million people and comprise of about forty percent of the world's economy. Negotiations for the TPP have been going on in bits and parts, largely over the last seven years and have been a priority of the Obama administration for most of its two terms. Negotiations went on culminating in a final agreement signed on February fourth of this 2016. This panel discusses the pros and cons of the Trans-Pacific Partnership as well as many other such trade partnerships.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".