Platinum-Plated Pensions: The Retirement Fortunes of CEOs Who Want to Cut Your Social Security
Bibliographic record
Abstract
In the current budget debate, the loudest calls for Social Security cuts are coming from two lobby groups led by CEOs who will never have to worry about their own retirement security.Fix the Debt is a PR and lobby machine launched in 2012 and led by more than 135 CEOs of major corporations. Seeking broad public support, this campaign has publicly couched their calls for reduced spending in vague euphemisms like "protecting and strengthening Social Security."The Business Roundtable, a 40-year-old association made up of about 200 CEOs of America's largest corporations, has not attempted to sugarcoat their draconian agenda. They are calling for an increase in the Social Security retirement age to 70 and a change in inflation calculations that would further reduce benefits.Meanwhile, Business Roundtable and Fix the Debt CEOs are sitting on massive nest eggs of their own. This report, co-published by the Center for Effective Government and the Institute for Policy Studies, focuses on the retirement funds of Business Roundtable members, but the two groups have considerable overlap. More than half of the Roundtable's Executive Committee members and a quarter of their total members are affiliated with Fix the Debt.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".