From Clot to Collapse: Two Approaches to Reading in Cortázar's "62. Modelo para armar"
Bibliographic record
Abstract
Varios cr?ticos han se?alado la importancia del primer episodio de 62. Modelo para armar como clave para interpretar la novela. Seg?n ellos, el intento por parte de Juan de entender y recrear su momento de claridad lo que Cort?zar llama un co?gulo sirve como ejemplo para el lector de la novela. El lector, como Juan en un caf? en Par?s, se enfrenta con una serie de elementos que tienen que ser armados dentro del mismo contexto para que produzcan un sentido. Proponemos que, mientras que este m?todo de interpretaci?n tiene validez, existe otro modelo de lectura en el episodio de la violaci?n de Celia por H?l?ne. La interpretaci?n que implica este episodio produce una imagen de la novela tan sobrecargada de sentido que procura el caos.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".