Bibliographic record
Abstract
Este año ha sido esencial en la vida de la escritora Ana Enriqueta Terán, tres libros estupendos suyos han sido publicados en los primeros seis meses. Uno de sonetos con dibujos de ella misma (Otros sonetos de todos mis tiempos. Casa Nacional de las Letras Andrés Bello, Caracas), una novela (Apuntes y congojas de una decadencia narrada en tres muertes. Fundación Editorial El Perro y la Rana, Caracas), y a finales del mes de junio - en el marco del XI Festival Mundial de Poesía de Venezuela -, la prestigiosa Biblioteca Ayacucho ha presentado con el Nº 252 de su Colección Clásica a Piedra de habla, antología poética con prólogo de Patricia Guzmán titulado Ana Enriqueta Terán Voz relampagueante de misterio y belleza, amén de la profusa cronología y concienzuda compilación de las fuentes bibliográficas. También este año, el Museo de Arte Valencia conjuntamente con la Red de Escritores de Venezuela y de un grupo de amigos de la poetisa constituidos como comité preparatorio para la celebración del centenario de la escritora, le rindió un cálido homenaje el domingo 4 de mayo, aniversario noventa y seis (96) de su nacimiento en Valera, estado Trujillo, de la ahora República Bolivariana de Venezuela
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 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 | 0.009 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".