El giro a la izquierda frustrado en Perú: el caso de Ollanta Humala
Bibliographic record
Abstract
En Perú, la campaña de elecciones de 2006 fue perturbada por el levantamiento inesperado del candidato nacionalista radical, Ollanta Humala. A pesar de ganar una pluralidad de 31% del voto en la primera vuelta, Humala perdió en la segunda votación, con un margen de 47 a 53%, frente a Alan García Pérez de la Alianza Popular Revolucionaria Americana (apra). Perú no sólo decidió no elegir a un presidente de izquierda, sino que fue el único país en los Andes que votó en elecciones nacionales en los últimos años por un líder que venía del sistema de partidos establecidos. Este trabajo analiza el origen y la naturaleza de la candidatura de Humala, evalúa hasta qué punto su campaña reflejó la debilidad del sistema de partidos, y determina si su candidatura reflejó un repudio a las políticas neoliberales y el descontento con el estado de la democracia o el rendimiento de los gobiernos elegidos.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".