Platinum-Plated Pensions: The Retirement Fortunes of CEOs Who Want to Cut Your Social Security
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it