Protectionism in Modern Economic System: Evaluating the US Trade Policies and the Impacts on China and Canada
Bibliographic record
Abstract
This research examines how protectionist trade measures affect China and Canada, as both nations primarily encounter such trade barriers from the United States. A protectionist approach includes government-implemented defensive policies that protect domestic industries against foreign market interference by means of taxes and financial assistance alongside restriction limits. This type of control provides temporary economic advantages. However, protectionist policies maintained over time produce economic inefficiencies, together with market volatility that leads nations to take countermeasures, thus reducing market efficiency. China reacted to US tariffs through increased self-reliance combined with its “Dual Circulation Strategy” and international cooperative agreements to decrease dependency on Western market. The Canadian economy encountered major economic problems due to US tariff retaliation, because it depends heavily on US markets; thus, it initiated immediate actions to diversify trade through various agreements. This research focuses on how trade strategies prove the differing effects of protectionist policies through a comparative analysis that supports multilateral economic stability between protectionist interests and international trade relations.
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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 | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".