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
The American people have become used to government trickery in foreign affairs—wars and interventions based on lies and falsified evidence, “national security” used to justify the whittling away of privacy, classification of documents to hide embarrassing disclosures, massaging of budget figures to mask outrageous spending on arms, and demands for new weapons when already in possession of an unmatched conventional and nuclear arsenal. Now comes trickery in a different domain: the Trans-Pacific Partnership (TPP), which has substantial bipartisan support and strong presidential endorsement. Eleven countries are awaiting the outcome in Congress as President Obama seeks approval to put the TPP on a "fast track," meaning skipping hearings, public input, and amendments and going directly to an up-or-down vote after 90 days to review. Once passed, the TPP will do for US corporations operating in Asia what the North American Free Trade Agreement (NAFTA) did for them in Canada and Mexico—provide new incentives to send jobs abroad, increase corporate earnings, and downgrade protections of the environment and workers at home as well as abroad.
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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