Public pension reform and the 49<sup>th</sup> parallel: Lessons from Canada for the U.S.
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
Abstract Public employee pension systems around the world show remarkable diversity in design and execution. Among these, the U.S. defined benefit public pension system has drawn increased attention because of questions about the long‐term sustainability of many of the underlying pension funds – as well as concerns of equity between pension plan members, retirees, taxpayers, bondholders, and users of public services. The Covid‐19 pandemic introduced new fissures in state and local government finances, heightening the need to bolster long‐term public pension fund robustness. As an alternative model, the Canadian public pension system is widely respected. This was not foreordained. The authors trace difficult decisions undertaken in Canada in the 1980s and 1990s along with essential descriptive features of the Canadian Model. Using a novel primary dataset, the authors benchmark the 25 largest U.S. plans against their ten largest Canadian peers, exploring key issues in a paired analysis. The authors extract fundamental lessons from the Canadian experience, proposing a roadmap for reform of the U.S. public pension system. They argue that long‐term pension sustainability, once politically prioritized, must be built on equity and discipline in plan design, funding, and amortization of existing deficits. They emphasize the importance of legal framework, particularly joint sponsorship, alongside enhanced governance and unified legislation. They also draw lessons from the Canadian experience with respect to enhanced investment organizations and investment strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it