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Record W2352856232

On the Competition Issue of Canadian Trade Remedy System

2011· article· en· W2352856232 on OpenAlexaboutno aff
Huang Wen-xu

Bibliographic record

VenueWorld Trade Organization Focus · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)DumpingInternational tradePublic interestSafeguardEconomicsTribunalTrade barrierChinaInternational economicsDomestic marketBusinessPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Trade remedy measures includes anti-dumping,countervailing and safeguard measures.Trade remedy measures may exclude reasonable competition of foreign enterprises in the domestic market,and then reduce competition in the domestic market.There is an independent public interest investigation in Canadian trade remedy system.The issue of competition is important in the investigation of public interest.Since the Special Import Measures Act enacted at 1984,Canada has initiated 161 trade remedy investigations,of which only 13 cases involved the issue of competition,and less cases in which trade remedy tax be reduced or exempted eventually because of competition issue.In the trade remedy investigations against China,only one case in which a public interest investigation be applied,but in the beginning it was rejected by the Canadian International Trade Tribunal,failed to make substantive investigation.This result reflects the exceptions of the competition in the Canadian trade remedy system..

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0290.010
Scholarly communication0.0120.003
Open science0.0030.003
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.038
GPT teacher head0.214
Teacher spread0.176 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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