Financial impact of foreign exchange entering the state of Guanajuato
Bibliographic record
Abstract
This work is focused on the financial impact that the state of Guanajuato has for the dozens of families that depend on the currencies sent by their relatives who are in the United States of America since these are the ones that reactivate the economy of the 46 municipalities of the state, the Currencies are almost 90% of the sources of income for families in the state. The Bank of Mexico reported that in the first half of the year more than One Thousand Two Hundred million dollars arrived, then approximately 600 million dollars are arriving in the state per quarter, this money that is sent by migrants has been destined to the basic needs of their relatives a 70% is used in food the other 30% is used in health and housing modifications. This places the state of Guanajuato in 3rd place of migrants to the neighboring country, the currencies for the state represent 6% of the Gross Domestic Product GDP of the state
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".