Nombres/personajes del exilio republicano en Chile: Winnipeg — ¿Va al paraíso? —Riñihue/Valdivia
Bibliographic record
Abstract
From an interdisciplinary view, this work aims to give three perspectives to approach the migratory phenomenon of exile in Chile, as a product of the Spanish Civil War. The first, called “Winnipeg”, will refer mainly to the prowess between the Chilean and Republican exiles. Its main characters are the poet Pablo Neruda and the president Pedro Aguirre Cerda. The second, called “Va al paraíso?”, is inspired by the city of Valparaíso, the port where Winnipeg arrived. “Va al paraíso?” will have a sense of where we are going... and if the arrival to this city-port is landing in a hypothetical paradise. Can a new life on another continent be as in paradise? Thirdly, baptized as “Riñihue/Valdivia”, we will turn to a town and a lake of the same name in southern Chile: Riñihue. It is a community that is very close to the city of Valdivia, and that it is the pole where one of the most violent cataclysms, ever registered in the history of humanity. Leopoldo Castedo —who arrived in Valparaíso exiled in Winnipeg— made the only known documentary, linked to this powerful telluric movement: earthquake and tidal wave.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".