MétaCan
Menu
Back to cohort
Record W7113047115

Are regulations achieving their objectives? Post Implementation Reviews – why they should be done, why they aren’t done and how to get them done

2024· other· en· W7113047115 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Government (linguistics)Process (computing)European unionPublic consultationUnintended consequencesRegulatory reformBest practice
DOInot available

Abstract

fetched live from OpenAlex

Regulatory policy is often under-prioritised by governments, particularly when compared with the detailed focus associated with tax and spending measures. Even where a clear policy development process is adopted and applied for regulatory measures, it rarely has the same profile or attendant resources as applied to fiscal measures. This paper highlights one aspect of this regulatory policy deficit – the lack of priority given to evaluation and ex-post review of regulatory measures. Post implementation reviews (PIRs) are an essential part of the framework for ensuring best practice regulatory policy making by government and regulators. Ex post evaluation highlights whether regulations are achieving their objectives and operating as expected, or whether they are leading to unintended consequences or imposing disproportionately high costs. They inform decisions over whether to retain, revise or remove the regulation. However only 25% of OECD countries have formal requirements for PIRs and even then, an evaluation is often not undertaken for many regulatory measures. This paper reviews the different approaches to PIRs in the UK, Canada, Australia, the US and the European Union in terms of system governance, methodology and public transparency and capacity building. It highlights the methodological challenges in undertaking PIRs, in particular the importance of a well-designed monitoring and evaluation plan and the failure to feed the results of the PIR into subsequent modifications to the regulations which suggests a systematic failure in the policy making framework. The paper suggests that PIRs are not undertaken more comprehensively due to: limited political benefit, lack of prioritisation and concern over exposing previous policy failures. It proposes seven policy approaches that might lead to a more comprehensive approach to PIRs, however the common thread running through all of these approaches is the critical importance of high-level political support. Without high-level backing, statutory requirements will be variously disregarded, internal and external voices ignored and the pragmatic short-term pressures to focus on new and high profile policy measures will trump the longer-term benefits from a comprehensive approach to policy evaluation.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.187
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0010.000
Scholarly communication0.0090.010
Open science0.0040.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.015

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 head0.073
GPT teacher head0.300
Teacher spread0.228 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDigital Access to Scholarship at Harvard (DASH) (Harvard University)French-language works237,207