Bibliographic record
Abstract
Es, por lo menos, curioso que la geografia politica tenga tan poca presencia en la vida academica chilena. Despues de todo, la actualidad noticiosa esta llena de referencias a temas que podemos legitimamente identificar con esta rama de la ciencia geografica. Leyendo la prensa chilena escrita en estos ultimos meses (finales de 1993 y comienzos de 1994) , es posible discernir algunos grandes centros de interes de los periodistas y, consecuentemente, del publico lector. Entre ellos destacan, para los efectos de nuestro recuento, los problemas de limites de Chile (con Argentina en el sur y con Peru y Bolivia en el norte), los proyectos de incorporacion del pais a algunos grandes conglomerados politico-economicos (al Tratado de Ubre Comercio (TLC), que agrupa actualmente a los tres grandes Estados de America del Norte: Canada, Estados Unidos y Mexico, y a la comunidad de Estados de la region Asia-Pacifico, APEC), la crisis y la reconstruccion de Europa, las tensiones politico-territoriales en Africa del Sur y el Sur de Asia, etc. Sin pretender reducir toda esta tematica a una lista exhaustiva de contenidos de la geografia politica, no deja de ser evidente su parentesco con todo lo que configura esta disciplina, desbordando en algunos casos hacia lo que podriamos denominar con mas propiedad la geopolitica, definida tal como lo haremos algunas lineas mas adelante.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".