Federal Employee Pension Reforms: First Steps - on a Much Longer Journey
Bibliographic record
Abstract
While Ottawa's proposed reforms to the pension plans of federal employees and MPs are a move in the right direction, the deep flaws in these plans require more fundamental revisions. The authors argue argue that more sweeping reforms are needed to achieve better funding and a more reasonable division of obligations and risks between taxpayers and public servants. The guaranteed incomes those plans promise participants are far more valuable, and their costs and obligations on taxpayers are far larger, than reported. Currently before Parliament, the new provisions include increasing employee contributions to the plans and raising eligibility ages for new employees' benefits. But the flaws in Ottawa's employee pension plans are so serious that these steps should - and almost certainly will - not be the end of the journey.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.017 | 0.014 |
| Insufficient payload (model declined to judge) | 0.022 | 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".