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
This article argues for an improved economic partnership between China and the United States based on nonpolitical, profit-seeking, market, and rule of law–based agreements. We begin by describing the major domestic economic issues that each country is facing, specifically the diverse threats of inflation in China and U.S. government debt. We argue that these substantial obstacles can be best overcome through partnership. As well, we argue that such an arrangement will have the incidental effects of reducing China’s vast income disparity and improving its shaky rule of law. We then describe the current strained relationship between the two nations and argue that these attitudes will be improved through the actions of “agents of change”—young professionals on both sides of the Pacific who study in North America and return to China, building cultural and economic bridges between East and West. We then outline a strategy for partnership, arguing that the United States should allow freer trade with China and should facilitate Chinese direct investment in American assets. We conclude by describing Canada’s potential role in this partnership both as a mediator between the two superpowers and as a source for investment in natural resources.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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