Bibliographic record
Abstract
While not appreciated at the time, the 1990s marked the high water of neoliberal economic and political themes. Globalization was widely popular, both for delivering prosperity to advanced nations and for lifting millions out of poverty in developing countries. To maximize benefits from the global order, emerging countries such as Mexico, Malaysia, and Morocco subscribed to the tenets of the Washington Consensus: fiscal discipline, low inflation, independent central banks, pro-market regulations, fewer trade barriers, and freer capital flows. Collapse of the Soviet Union crowned the United States as the sole hegemon, both as a proponent of the market economy and as the premier military power. In the same political moment, China's paramount leader Deng Xiaoping sought to establish close political ties with Washington and embrace market principles (“Black cat or white cat, if it can catch mice, it's a good cat”). In the early 1990s, European leaders were absorbed by the unification of Germany and the liberation of Soviet satellites. Hence, Europe ignored Mexico's overtures to establish closer economic ties, prompting President Carlos Salinas to launch NAFTA with President George H.W. Bush. Canadian Prime Minister Brian Mulroney soon joined, making the “three amigos.” All this was politically possible because Mexico and Canada had already joined the neoliberal camp.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".