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DETERMINANTS OF USMCA COMPETITIVE FORCE FORMATION

2023· article· en· W4391975339 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBaltic Journal of Economic Studies · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsPoolingCompetitive advantageEconomic integrationEconomic systemIndustrial organizationSustainable developmentEconomicsBusinessInternational tradeMarketingPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Understanding the factors that influence the formation of the competitive force within the United States-Mexico-Canada Agreement (USMCA) is crucial for delineating the features that contribute to the effective functioning and development of its economic competitive landscape. The primary objective of this article is to examine the impact of the interplay between determinants influencing the global competitiveness of member states and international integration groupings on the sustainable economic growth of the USMCA. The article introduces the author's conceptual framework, which presents a comprehensive classification of determinants that shape and enhance the adaptive competitiveness of integrated economic systems. This framework, alternatively referred to as the interpretation of the drivers of the USMCA's global competitiveness, applies to any international integration grouping. The proposed approach advocates the separation of the USMCA's development model as an independent entity, distinct from the model that governs the global competitiveness of individual member states. Notable differences have been identified by evaluating several determinants, including economic performance, government efficiency, business efficiency and infrastructure, on the formation of the global competitiveness of member states within the USMCA. The member states of the USMCA show significant differences in their global competitiveness. It is worth mentioning that the criterion of economic performance stands out as the most influential factor, with all three member states performing better in terms of competitiveness on this criterion. The study's findings underscore that the USMCA's competitiveness is a key feature of its economy. It is evident through the cumulative, synergistic effect of the pooling of global competitive forces among the member states. This amalgamation strengthens the USMCA's position in the global economy. Assessing the global competitiveness of the USMCA is important for delineating the development trajectories of member states within the international integration grouping. It is crucial for the design of a coherent competitiveness policy and the promotion of intergovernmental and inter-union dialogue. It also serves as a valuable indicator or marker of the USMCA's competitive development trajectory.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.001

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 head0.134
GPT teacher head0.291
Teacher spread0.157 · 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