MétaCan
Menu
Back to cohort
Record W7009887740

Extending the Protection of Geographical Indications within and beyond the EU

2023· book-chapter· en· W7009887740 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System University of Ferrara (University of Ferrara) · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)General partnershipEuropean unionEconomic JusticeFree tradeEuropean court of justice
DOInot available

Abstract

fetched live from OpenAlex

The chapter first delves into the recent case law from the Court of Justice of the European Union on the scope of GI protection – a scope which has been significantly widened. It then highlights the differences between the GI protection regimes adopted by the EU (Old World) and several countries which were former colonies of European states, including US, Canada, Australia and Chile (New World). The focus subsequently shifts to the GI provisions of the 2018 EU-Japan Economic Partnership Agreement: this case study provides a good example of how the EU manages to use bilateral trade or economic partnership agreements to protect its GI-intensive industries in international markets.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.281
Teacher spread0.185 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInstitutional Research Information System University of Ferrara (University of Ferrara)Same topicWorld Trade Organization LawFrench-language works237,207