Opposition parties support calls for veterans affairs minister to resign: 'Untenable'
Bibliographic record
Abstract
Canada’s opposition parties are voicing support for the growing pressure campaign on Veterans Affairs Minister Lawrence MacAulay to step aside, saying he has failed veterans who feel forgotten by Ottawa.\n\nThe union representing thousands of Veterans Affairs Canada (VAC) employees has called for MacAulay to resign or be fired, accusing him of repeatedly refusing to meet with members to discuss their concerns.\n\nVeterans and the leaders of multiple advocacy organizations have echoed those calls as wait times for disability benefits continue to far exceed targets set by the government.\n\nIn a statement Tuesday, NDP MP and veterans affairs critic Rachel Blaney accused MacAulay of “letting the relationship sour” between the government, VAC workers and veterans themselves.\n\n“The minister can’t say he’s working for our veterans when he won’t even listen to them,” Blaney said.\n\n“With calls for the minister to be removed from his position from the Union of Veterans Affairs Employees, the situation has become untenable.”\n\nBlaney added on Twitter that MacAulay should step down if he does not “step up and fix his relationship with the union.”
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.031 | 0.009 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".