Private Pensions: Changes Needed to Better Protect Multiemployer Pension Benefits
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Thirty years ago Congress enacted protections to ensure that participants in multiemployer pension plans received their promised benefits. These defined benefit plans are created by collective bargaining agreements covering more than one employer. Today, these plans provide pension coverage to over 10.4 million participants in approximately 1,500 multiemployer plans insured by the Pension Benefit Guaranty Corporation (PBGC). In this report, GAO examines (1) the current status of nation's multiemployer plans; (2) steps PBGC takes to monitor the health of these plans; (3) the structure of multiemployer plans in other countries; and (4) statutory and regulatory changes that could help plans provide participants with the benefits they are due. To address these questions, GAO analyzed government and industry data and interviewed government officials, pension experts and plan practitioners in the United States, the Netherlands, Denmark, United Kingdom, and Canada."
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".