MétaCan
Menu
Back to cohort

Compositional Standards, Import Permits and Market Structure: The Case of Canadian Cheese Imports

2012· article· en· W1915689329 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 Economy · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsCredit Valley HospitalUniversité LavalCarleton University
Fundersnot available
KeywordsDairy industryEconomicsValue (mathematics)Unit (ring theory)International tradeInternational economicsUnit of accountMacroeconomicsFood scienceChemistry

Abstract

fetched live from OpenAlex

Abstract The imposition of cheese compositional standards by the Canadian authorities has created divisions within the Canadian dairy industry and has motivated criticisms from several of Canada’s trade partners. The standards impose minimum limits on the percentage of casein coming from fluid milk. We develop a theoretical model to investigate the implications of Canada’s compositional cheese standards while accounting for Canada’s trade policy. We illustrate why a type of cheese that is not directly impacted by the standards might be the most affected. We show that the standards can decrease the domestic demand for milk or the value of imports. Our empirical investigation identified breaks in the processes determining import unit values shortly before or shortly after the beginning of the implementation of the standards.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.023
GPT teacher head0.204
Teacher spread0.182 · 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