Policy labs, partners and policy effectiveness in Canada
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
Upon election in 2015, the Justin Trudeau Liberal government announced its intention to transform government operations by bringing nonprofit and private sector partners into the center of public sector decision making through new structures such as Policy Hubs and Innovation labs. These collaborative arrangements were intended to yield the benefits of Michael Barber’s theory of deliverology by breaking through the public sector aversion to risk and change and by creating new spaces for devising effective solutions to the increasingly complex social and economic challenges facing government. A preliminary examination of the use of policy hubs and innovation labs in Canada between 2015 and 2020 indicates that the results have been mixed for the nonprofit sector partners. Collaborative relations have offered nonprofit sector partners new opportunities and access to influence policy decisions. However, this influence also poses risks to their independence, legitimacy and effectiveness as policy advocates. Both public and nonprofit sector partners in PILs should heed certain cautions in choosing future partnerships or they may find their ability to achieve meaningful policy change is limited.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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