Mexico Reports GDP Growth Of 7.9 Percent In January-March Quarter
Bibliographic record
Abstract
The Secretaria de Hacienda y Credito Publico (SHCP) reported Mexico's GDP growth at a whopping 7.9% during the first quarter of the year.The news elicited mixed reactions from economists, business leaders, and politicians, who were pleased about the strong economic results but also worried that the Mexican economy may be overheating.The 7.9% growth rate, the strongest in eleven quarters, surpassed most private forecasts.In a briefing with reporters, Finance Secretary Jose Angel Gurria Trevino attributed the strong economic performance to a recovery in domestic demand."In previous years, exports boosted the economy," said Gurria."Now we are seeing much more that growth in consumption and growth in internal investment are the main motors of the economy."The government's statistics agency (Instituto Nacional de Estadisticas, Geografia e Informatica, INEGI) confirmed Gurria's assessment.In a report published in mid-May, INEGI said retail sales increased by 9.2% during January-March, the largest quarterly increase since the economic crisis of 1995.The growth in domestic consumption has promoted steady imports during the first four months of the year, expanding Mexico's trade deficit.In late May, a SHCP report said the preliminary deficit for January-April was US$1.69 billion, about 12.8% wider than in the same four-month period in 1999.Some economists said the Mexican economy has benefitted significantly from the surge in global oil prices and strong US economic growth.The US accounts for about 90% of Mexico's total exports.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".