Desire, Doubling, and Difference in Cristina Fernández Cubas's El ángulo del horror
Bibliographic record
Abstract
En El del horror (1990), de Cristina Fern?ndez Cubas, la construcci?n de identidad se presenta como un proceso dual, mediante cual deseo del otro motiva y formula al ser. Esta correspondencia se expresa en la relaci?n entre sujeto que ve y objeto que es visto, una din?mica ?ptica de colusi?n que la autora siempre duplica a nivel textual al ofrecer al lector una interpretaci?n distorsionada que le incita a buscar una perspectiva m?s clara. De modo que la construcci?n visual del sujeto un tema subrayado por el ?ngulo del t?tulo de la colecci?n se convierte en una cuesti?n de deseo: un deseo que persigue a su otro en un esfuerzo de definirse a s? mismo como sujeto y, a la vez, un deseo que es objeto de la narraci?n, perseguido en su momento como lo que anima y sostiene acto de contar. El deseo y la visi?n se juntan en El del horror como las fuerzas que inspiran y logran la construcci?n del sujeto a base de las semejanzas y las diferencias del otro.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".