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Record W2078188506 · doi:10.1017/s1474745608003972

The US–Canada softwood lumber dispute and the WTO definition of subsidy

2008· article· en· W2078188506 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWorld Trade Review · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsBishop's University
FundersU.S. Department of Commerce
KeywordsStumpageSubsidySoftwoodBusinessGovernment (linguistics)Order (exchange)International tradeEconomicsFinanceAgricultural economicsMarket economyEngineeringPulp and paper industry

Abstract

fetched live from OpenAlex

Abstract In the softwood lumber dispute, the United States argues that Canada's forestry practices, especially the fees charged by provincial governments to private firms to harvest trees on public lands (stumpage rights), result in undue subsidization of Canadian lumber. Within the World Trade Organization, the concept of subsidy is defined as a ‘government financial contribution’ that confers a ‘benefit’ on firms and that is ‘specific’. In US–Softwood Lumber IV , the WTO authorities ruled that stumpage rights were specific and constituted a financial contribution through the provision of a good (timber). However, in order to demonstrate whether and to what extent these rights confer a benefit on lumber producers, the United States still has to ensure that its methodology to assess the ‘adequacy of remuneration’ is compatible with WTO provisions and to conduct a satisfactory ‘pass-through’ analysis of the alleged input stumpage subsidy to unrelated downstream lumber producers.

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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.057
GPT teacher head0.193
Teacher spread0.136 · 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