Perceived Value of Mexican vs. US Products in Mexico, Venezuela and the United States
Bibliographic record
Abstract
Abstract With the advent of NAFTA and the liberalization of Latin American markets, Mexican firms have gained new strategic options, many of which revolve around exporting regionally or to the United States and Canada. The studies explore consumer reactions to Mexican products. The first study compares value perceptions of a cross-national sample of Mexican, US and Venezuelan respondents toward US and Mexican products. It also explores the moderating effects of product content and financial risk on value differentials. The second study, limited to Mexican and Venezuelan respondents, looks for evidence of a home country bias. While the strategy implications for Mexican products differ according to a product's level of content and financial risk, the studies indicate that inter-regional trade is a viable possibility. Key Words: NAFTAliberalization of Latin American marketsMexicoCanadaUSAinterregional tradeconsumer perceptions of products
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".