OFF TO A BAD START : MASSIVE SPECIAL GAINS AT US AIRWAYS MADE THE FIRST QUARTER LOOK MUCH BETTER THAN IT WAS
Bibliographic record
Abstract
The first quarter of 2003 continued to show poor results for the 10 U.S. Major airlines, which lost $1.94 billion, though it was a substantial improvement over a year ago comparable period. But the good results are misleading in part because of a $1.92 billion special gain claimed by US Airways as a result of its emerging from bankruptcy. Without that, the loss would be $3.86 billion. Also, the 2002 results for the comparable period were made worse by noncash- accounting changes at several carriers. Operating losses increased to $3.05 billion from $2.7 billion in 2002. UAL Corp. has the largest quarterly loss. It said its future results should be helped by lower salary and benefit costs and enhanced flexibility and productivity. AMR Corp. has truly dreadful results, the chairman said. Delta is furloughing another 200 pilots. Northwest had disappointing results. Continental cited the war in Iraq and high fuel prices in reporting its problem Alaska Air Group managed an operating profit, but its holding company was doing much worse compared to a year ago.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.014 | 0.002 |
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".