GM says it has 2,700 jobs for workers slated to be laid off
Bibliographic record
Abstract
General Motorsâ plans to lay off 14,000 salaried and blue-collar workers might not be as bad as originally projected. General Motors now says that most of the factory jobs it was cutting, can now be saved.GM says only 600 factory jobs will be eliminated in the restructuring.Blue-collar workers will still lose jobs at four U.S. plants that'll be closed next year, but most can get work at eight other GM factories where jobs are being added. Some would have to relocate.GM still plans to lay off about 8,000 white-collar workers and another 2,600 factory workers in Canada.The company announced plans to end production at the U.S. factories and one in Ontario in November to cut costs and divert resources to development and manufacturing of trucks, SUVs and electric and autonomous vehicles.GMâs attempt to close the factories still has to be negotiated with the United Auto Workers union. General Motors says most factory jobs can now be saved. Only 600 factory jobs will be eliminated in restructuring. 4 plants will close next year. However, jobs are being added at 8 other GM factories. GM still plans to lay off about 8,000 white-collar workers. GM's plan aims to cut costs and divert resources to new developments. GM still needs to negotiate with United Auto Workers
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.013 |
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".