Bibliographic record
Abstract
The objective of this paper is to examine the impacts of the creation of NAFTA on trade openness in the North American region as a whole. We first assess these impacts of on NAFTA on individual member countries- namely, the United States, Canada and Mexico. Then we explore the impacts of NAFTA on North America as a bloc. Towards our goal we develop an empirical model that includes several independent variables to control, among others, for productivity, inflation, capital formation, per capita income, monetary policy and the existence of NAFTA. We collect annual time series data on all variables from 1981 to 2010 from the World Bank's World Development Indicators (WDI) and the United Nations' Comtrade databases. Findings suggest that NAFTA has had a positive and significant impact on promoting trade, both at the regional and individual levels. Thus the decision makers in NAFTA member countries should pursue their efforts to (i) eliminate or harmonize their tariffs, and (ii) implement legislations that promote or facilitate the flows of goods and services within the region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".