No Free Ride: The Cost of Essential Services Designation.” e-brief
Bibliographic record
Abstract
Designating public services as ‘essential ’ may be intended to protect public safety but it can be very costly to the public purse. Evidence from across Canada shows that legislation declaring a public service essential increases the cost of negotiated wage settlements, fuels wage growth across sectors, and is not a definitive way of reducing strikes. Policymakers should weigh the costs of essential services legislation against the benefit to public safety of service continuation. In recent decades, governments across the country have designated as ‘essential ’ a broad range of governmentprovided services. Declaring a service essential means that workers are allowed to strike but are legally obligated to continue providing designated services during their job action. While apparently an agreeable, win-win compromise between unions and the public, it may not be. Canadian evidence suggests that declaring a public service essential increases the cost of negotiated wage settlements, fuels wage growth across sectors – and does not guarantee that crucial services will be provided in the event of a strike. Essential Services Across Canada As of 2008, most provinces, the federal government and some municipal governments have designated that
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".