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Record W2789900678 · doi:10.1111/1758-5899.12545

Internalisation of International Investment Agreements in Public Policymaking: Developing a Conceptual Framework of Regulatory Chill

2018· article· en· W2789900678 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Policy · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsTreatyExtant taxonInvestment (military)Conceptual frameworkPublic policyWork (physics)State (computer science)Public economicsInvestment policyRegulatory stateEconomicsBusinessPolitical scienceLaw and economicsForeign direct investmentFinanceSociologyLawCorporate governancePolitics

Abstract

fetched live from OpenAlex

Abstract The growing number of public policy measures challenged through investor‐state dispute settlement has raised critiques that international investment agreements could lead governments to avoid introducing new policy measures out of a fear that these could be challenged by foreign investors, often referred to as ‘regulatory chill’. While the body of work on regulatory chill is still in its infancy, there is a need to interrogate extant studies to better understand the state of the knowledge and the methodological approaches being employed to produce an evidence base. Grounded in a critical review of the existing literature, this paper develops a conceptual framework of regulatory chill, identifying it as one possible policy response wherein investment agreements are internalised by policy makers as considerations during their policy decision‐making. Three distinct bodies of work were identified in the literature which helped to populate this framework, including analysis of investment treaty language and awards, interviews with policy makers to explore internalisation of such treaties, and case studies of suspected regulatory chill policy responses. The conceptual framework is intended to help drive forward a cohesive research agenda on regulatory chill that can underpin the ongoing investment treaty 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)0.000
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 score0.538
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.039
GPT teacher head0.301
Teacher spread0.262 · 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