Legislative Control of Cabinet Appointments to the Public Service: A Canadian Case-Study in the Political Limits to Parliamentary Reform
Bibliographic record
Abstract
This paper analyses an important Canadian experiment in the legislative scrutiny of political appointments by the executive. Since 1991, the Ontario Legislature's Standing Committee on Government Agencies has routinely interviewed cabinet appointments to semi-independent agencies, which are a major policy instrument at both federal and provincial levels in Canada. The Committee was assigned this task on the assumption that partisan Members could agree on criteria for questioning witnesses about their qualifications, and that the government would be willing to withdraw candidates exposed as inadequate. At the same time, the governing party retained the discretion to make partisan appointments. An examination of how the Committee conducts interviews reveals a tension between the Members' role in holding the executive accountable, and their identities as partisan politicians. In large part, the Committee has become a forum for debates on the appropriate limits to patronage in appointments to public bodies.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.043 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".