Wages and Bonuses in Investment Banking
Bibliographic record
Abstract
[Excerpt] For people working in investment banking, especially those in and around Wall Street, it’s hard to deny that late 2005 and early 2006 was very, very good to them. With steady employment totals, very handsome bonuses being handed out in fourth quarter 2005, and even larger ones awarded in first quarter 2006, it would seem to be an understatement to say that investment banking was thriving. In first quarter 2006, private sector investment banking and securities dealing recorded average weekly wages of $8,367, well above that of any industry with the exception of the other Wall Street bonus giant, securities brokerage. The investment banking industry’s quarterly total wages ranged from $6 billion to $18.9 billion in late 2005 and early 2006 and the industry’s average weekly wage was nearly 10 times the national average.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".