¿Para quién es ornamental el corazón? Cursilerías y otros desbordamientos sentimentales en la poesía de Berta García Faet
Bibliographic record
Abstract
Este artículo pretende participar de una conversación abierta sobre el uso poético y político de la cursilería en la poesía de Berta García Faet. Dividido en dos partes, primero, ofrece una introducción contextual a la obra de la autora y, segundo, presenta un repaso histórico y teórico del concepto de lo cursi con el fin de elaborar una contracrítica a otro artículo publicado recientemente, argumentando que la categoría de lo cursi es central para comprender su poesía. El uso consciente y político de estereotipos, normas de género y clichés asociados a la feminidad resulta crucial, y la sugerencia de otros términos para abordar estas poéticas (como la ligereza) se revela insuficiente o desacertada.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".