Extractivismo minero en Latinoamérica, principal activo de la deuda ecológica
Bibliographic record
Abstract
La mineria es una actividad elemental en Latinoamerica por la trascendencia que ha tenido en el proceso productivo a lo largo de la historia. El permanente interes que los capitales ejercen en la explotacion intensiva de los bienes naturales esta supeditado a la demanda de dichos bienes por medio de las naciones desarrolladas para el consumo de su industria. Por otro lado, Latinoamerica no ha logrado un desarrollo economico notable desde la decada de los noventa, momento en el que se facilito la entrada a capitales extranjeros, pues el aumento de la Inversion Extranjera Directa (IED) en proyectos extractivos -principalmente mineros- ha crecido de manera paralela al incremento de la deuda externa que presenta el Continente. Debido a lo anterior, se considera que existe una deuda ecologica entre las naciones desarrolladas y subdesarrolladas, por lo que el presente trabajo estudiara la deuda que sostienen Estados Unidos y Canada con Mexico debido a la intensa actividad extractiva que los primeros mantienen con nuestro pais. Analizaremos los flujos de materias primas, la medicion de la biocapacidad y la huella ecologica en Mexico, con la finalidad de demostrar la trasferencia de los danos que provocan estas actividades como parte elemental de la deuda.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".