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Record W2522349529 · doi:10.1017/s1867299x0000564x

Food Safety Regulation in TTIP: Much Ado About Nothing?

2016· article· en· W2522349529 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

VenueEuropean Journal of Risk Regulation · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsTrinity College
Fundersnot available
KeywordsTransatlantic Trade and Investment PartnershipInternational tradeFood safetyNegotiationBusinessTransparency (behavior)General partnershipMultilateral trade negotiationsInternational economicsTrade barrierPolitical scienceFree tradeEconomicsLawFinance

Abstract

fetched live from OpenAlex

Disputes over food safety standards –what in the language of trade policy are called sanitary and phytosanitary standards (SPS) – have been at the heart of many transatlantic trade rows between the US and the EU. Examples include the EU bans on the import of hormone–treated beef, on pork treated with growth–promoting additives, or on poultry washed in antimicrobial rinses to reduce the amount of microbes on meat. As a result, the potential impact of the ongoing negotiations to reach a Transatlantic Trade and Investment Partnership (TTIP) free trade agreement between the US and EU on EU food standards has, rightly, attracted a lot of attention and no little anxiety. Opposition to “Chlorhühnchen” has become the rallying–call for anti–TTIP activists in many countries. NGOs argue that “TTIP will sacrifice food safety for faster trade”. Critics highlight possible procedural rules requiring transparency of decision–making and early warning mechanisms which would give interested parties (including of course business firms and lobby groups) the opportunity to comment on planned rule–making which it is argued are likely to lead to ‘regulatory chill’.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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)0.0010.000

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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