Briefing Note to Government Operations and Estimates Committee, Standing Committee established to study the transition of the Public Service Health Care Plan from Sun Life Financial to the Canada Life Assurance Company
Bibliographic record
Abstract
The OGGO Parliamentary Standing Committee has been asked to examine what went wrong and why, and how to fix this situation. In my Brief, I am asking OGGO Standing Committee to address the following three questions: 1. Why was CL seemingly unprepared for the 1 July 2023 PSHCP transition? 2. Why did TBS negotiate a PSCHP contract that: i) Was not intended to come into effect until January 1, 2024, some 6 months after the termination of the SL contract? ii) Failed to accommodate the needs of senior Members thereby denying them access to and benefit of their PSHCP entitlements. iii) Disclosed to CL,10 years of Member and Dependents’ personal medical data without Member notification thereby denying us the option of erasure of data for Dependents, most of whom were children when they received benefit coverage and now are no longer covered by PSHCP.iv) Restructured the scope of Prior Authorisations for PSHCP benefits. 3. How should TBS and CL move forward to address existing contract delivery problems?
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.
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.095 | 0.037 |
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".