Big Three : le piège de la « libéralisation » salariale et financière se referme
Bibliographic record
Abstract
The US automakers are likely to crumble like the twin towers of the World Trade Center unless a vigorous and costly state intervention takes place sooner rather than later. Their disappearance would have the same effect on the ‘real economy' as Lehman Bothers' bankruptcy had on the financial sphere. After all, the Big 3 still account for one-quarter of global automobile output, two-thirds of which they produce out of North America. The fallout would be extremely painful to their suppliers and to competitors who get their inputs from these same sources, leading to the elimination of hundreds of thousands of additional jobs. Then there are all the financed sales and leasing operations that the Big Three have developed in recent years, plus the way a large part of their receivables portfolios has been transformed into derivative products. Lastly, their property holdings did not benefit from the same subprime facilities as other sectors did. The conditions underlying the American auto- mobile firms' current situation have their origins in the distant past. It should be noted, however, that these companies also had many opportunities to escape the trap set for them by the form of capitalism that progressively took shape in the United States following Richard Nixon's 1971 decision to let the Dollar float.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".