Bibliographic record
Abstract
Este es el trabajo final escrito por Andressa Derbli para la Maestría en Escrituras Creativas de \nla Universidad Nacional de Colombia en la vertiente de Guion para Largometraje. Su \nelaboración cumple las etapas teóricas de la cinematografía para un documento que da inicio \na la realización de una película. Categorizado en el género de comedia dramática y con la \nestructura clásica de los Tres Actos Aristotélicos, el guion de “Sobrevivir y amar” es una \nficción que se enfoca en el carácter intimista y la creación de personajes profundos, amables \ny divertidos. Sus subtramas, aunque a veces parecen que se desligan de la trama principal, \ncontribuyen, desde distintos conflictos y acciones dramáticas, al arco de transformación del \npersonaje principal. El trabajo contiene: título, tema, premisa, storyline, sinopsis, argumento, \ndescripción de personaje, escaleta, nota de intención y guion dialogado. (Texto tomado de la fuente)
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".