The Changing Role of Consultants in Canadian Policy Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article explores the Canadian government's trend toward outsourcing policy analytical and advisory services over the 1980s and 1990s. We test three (not mutually exclusive) hypotheses about why such policy consulting has increased. A combination of New Public Management values and knowledge expansion are shown to drive this trend. In the late 1990s, the federal government significantly decreased the number of in-house operational and administrative support workers. These reductions enabled the government to contract out more while a managerial and administrative cadre remained in place to manage the contracts. The main implication is that contracting out analytical and advisory services does not necessarily lower costs, but does aid government in pursuing other objectives. The growth in Canadian policy consulting corresponded with a stabilization of public service personnel expenditures, a focus on leaner government, and an ability to rely on outside specialists for objective, expert advice.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it