MétaCan
Menu
Back to cohort
Record W2231013681

Risk Regulation: Technocratic and Democratic Tools for Regulatory Reform

2008· article· en· W2231013681 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.

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTechnocracyNormativePoliticsDemocracyLaw and economicsPolitical scienceRegulatory reformPublic administrationPublic economicsEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This article reviews the empirical evidence on the results of regulation of health and safety risks. It notes dramatic variances in the costs per life saved of various health and safety regulations which implies serious misallocations of social resources. The authors argue that problems of over and under regulation are the result of political and regulatory processes insufficiently disciplined by technocratic tools, especially scientific risk assessment and cost-benefit analysis. On the other hand, both scientific risk assessment and cost-benefit analysis are themselves beset by numerous technical and normative frailties, hence requiring in turn that public participation in the regulatory process discipline the use of these technocratic tools so that scientific and technical analysts do not over-step the legitimate bounds of their disciplines and usurp value judgments more properly made ultimately by citizens in a liberal democracy. Hence, science must discipline politics and politics must discipline science. The article develops a set of institutional proposals for risk regulation designed to assign appropriate roles to technocratic and democratic tools in regulatory reform.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.219
Teacher spread0.202 · 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