Los naufragados tatuajes de Jorge Velasco Mackenzie: apostillas para incrementar la confusión documental
Bibliographic record
Abstract
Este artículo data de marzo de 2009, el poeta ecuatoriano Nieto Cadena hace una peculiar exploración y reflexión crítica de la novela de su contemporáneo Jorge Velasco Mackenzie, Tatuaje de náufragos, publicada en 2008. El texto, a más de destacar los logros de la novela de Velasco, deviene en un testimonio de primera mano de quien fue parte del mítico grupo Sicoseo, referente cultural en el Guayaquil de la década de los 70. A más de desmitificar algunas aseveraciones (y tergiversaciones) que se han hecho en torno a los autores que fueron parte de esta generación, Nieto Cadena también comenta lo que significó el café Montreal en la cotidianeidad de esos autores y qué relación tuvo con el grupo Sicoseo, del que él fue una de las cabezas visibles hasta antes de su peregrinaje a México, en donde desarrolló una intensa actividad literaria.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".