MétaCan
Menu
← Back to cohort
Record W7001183460

The Influence of Buy American Policies on Canadian Coverage under the World Trade Organization Agreement on Government Procurement

2012· article· en· W7001183460 on OpenAlexaboutno aff

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment procurementProcurementGovernment (linguistics)Trade agreementWorld tradeFree tradeLiberalization
DOInot available

Abstract

fetched live from OpenAlex

Despite incremental trade liberalization of Canadian public procurement since the 1981 GATT Code on government procurement, Canadian provincial and territorial procurement remained outside the World Trade Organization Agreement on Government Procurement (GPA).The reason was the perceived discriminatory use of small business set-asides and Buy American policies in U.S. public procurement.After the 2008 economic downturn, the American Recovery and Reinvestment Act of 2009 (Recovery Act) injected billions of dollars into the U.S. economy.Together with lucrative business opportunities, the Buy American provisions of the Recovery Act were sufficiently trade restrictive to be a force for trade liberalization.To avoid exclusion of Canadian suppliers from contract opportunities, Canadian sub-central governments assumed commitments under a revised GPA.The article reviews Buy American policies as an impediment and incentive to Canadian coverage under the GPA.It explains Canadian federal, provincial, and territorial coverage under the agreement and discusses the salient issue of procurement review.VOL. 46, NO. 4

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)0.006
metaresearch head score (Gemma)0.030
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 score0.150
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0100.006
Scholarly communication0.0110.002
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.207
Teacher spread0.180 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueSMU Scholar (Southern Methodist University)→Same topicDiverse Scientific and Economic Studies→French-language works237,207→