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Record W3157504288 · doi:10.1080/25741292.2021.1880063

Policy labs, partners and policy effectiveness in Canada

2021· article· en· W3157504288 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicy Design and Practice · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsLegitimacyGovernment (linguistics)Private sectorPublic sectorPublic policyNonprofit sectorPublic administrationBusinessIndependence (probability theory)Public relationsEconomicsPublic economicsPolitical scienceEconomic growthPoliticsLaw

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.320
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it