Bibliographic record
Abstract
Mexico has been a third-world country for centuries. Through its historical path of turbulent governments, Mexico was continuously left in a worse economic condition than where it was in each previous regime. (Suchlicki, 1996) When NAFTA was signed, the hopes were to unite and increase trade between Canada, the United States and Mexico. It was also believed that NAFTA would solve all of Mexicos social, political and economic problems, demonstrating how free trade could aid in developing a nation such as Mexico. (Smith & Lindlad, 2003) However, not all of Mexico was accepting NAFTA with open-arms. After the signing, there were hostile movements in Mexico (Suchlicki, 1996), attempted renegotiations of NAFTA ("Mexico Rejects," 2004) and a requirement for a delay in lifting some agricultural import barriers (Hall, Schwarf, and Root, 2006). While NAFTA is not a panacea for all of Mexicos economic woes, it is the path to a stronger Mexico in the future. The greatest obstacle to free trade lies within Mexicos divided culture and internal derision.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
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".