Tuition Policy Instruments in Canada Public Policy Choices for What Problems
Bibliographic record
Abstract
AbstractUsing policy instruments as the unit of analysis and employing an instrument typology, this study considers policymaker goals and the effects of different policy actors and their influence strategies on selection. This study builds upon conceptions of choice approaches to policy instruments, using an analytical lens to describe policy actor perceptions and policy instrument use in three Canadian provinces to shed new light on the nature of higher education policy design.RésuméEn utilisant les instruments de politique comme unité d'analyse et en employant une typologie d'instruments, cette étude considère les objectifs des décideurs politiques et les effets des différents acteurs politiques et leurs stratégies d'influence sur la sélection. S’appuyant sur les conceptions des approches de choix des instruments de politique et utilisant une lentille analytique pour décrire les perceptions des acteurs politiques ainsi que les instruments de politique dans trois provinces canadiennes, cette étude servira de tremplin afin de jeter un nouveau regard sur la nature de la conception des politiques d'enseignement supérieur.Key Words: policy instruments; higher education; provincial policy; tuition policyMots-clés : instruments de politique; enseignement supérieur; politique provinciale; politique de scolarité
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How this classification was reachedexpand
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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".