The Political Character of Agency and Board Appointments in Alberta
Bibliographic record
Abstract
Abstract Agencies, boards, and commissions (ABCs) in Canada have a distinct character and set of governance dynamics compared with the conventional public service. ABCs are often conceived to deliver a particular service or regulate or adjudicate matters with some distance from the government of the day, yet (perhaps counter-intuitively) are among the few remaining sites of patronage-like appointments in Canada. This article compiles ABC appointment data ( N = 2,248) from the Province of Alberta over two distinct periods—the Notley government (2015–2019) and the Kenney/Smith governments (2019–2024)—to explore the character and patterns of appointments. We find mixed evidence that appointments to ABCs with more formal autonomy are more likely to be politicized. Some metrics also suggest that the conservative party appointees are slightly more often politically connected, particularly in ABCs that reside in high priority policy areas for the appointing government, and in particular in crown corporations and regulatory agencies.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".