Bibliographic record
Abstract
Algunos analistas han planteado que el federalismo puede socavar el poder gubernamental, especialmente en los asuntos internacionales y el desarrollo capitalista. Esta perspectiva afirma que es más difícil llevar a cabo acuerdos comerciales multilaterales como el TLCAN, además de que sus efectos son más débiles, cuando son negociados e implementados por países de sistema federalista. Sin embargo, un análisis del proceso, que tuvo como resultado el TLCAN y los verdaderos logros económicos de éste, indica con un fundamento real todo lo contrario: que los sistemas federales como Canadá, México y Estados Unidos se han visto beneficiados con la experiencia de la “gobernabilidad compartida” en relación con la globalización, especialmente porque se refleja la complejidad de una integración soberana, fundamental para el éxito práctico de ese proceso.
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 | 0.019 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.014 | 0.026 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.020 | 0.015 |
| Insufficient payload (model declined to judge) | 0.013 | 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".