Bibliographic record
Abstract
Abstract In his classic 1976 article on the state of policy studies in Canada, Richard Simeon explicitly warned against following the path toward a policy science. Simeon was suspicious of the normative agenda embedded in the policy sciences project and worried that it would submerge politics in a broader set of interdisciplinary concerns. Was Simeon right? The policy sciences have not developed the way their principal proponent, Harold Lasswell, had anticipated or hoped, but neither has the study of public policy developed exactly as Simeon advocated. Both Lasswell and Simeon believed strongly in an empirical orientation and Lasswell, more than Simeon, focused on creating a tool kit of techniques. Schools of public policy have moved beyond both critique and technique to estimate risk, ameliorate error and mobilize knowledge. This new agenda requires students of public policy to acquire and employ practical knowledge steeped in the particular and instructed by policy narratives.
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 | 0.038 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.019 | 0.031 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".