Pasantía de Grado en LuloFilms
Bibliographic record
Abstract
Este documento resume el proceso que se llevó a cabo a lo largo de la pasantía realizada en la productora audiovisual, LuloFilms. Se decidió realizar una pasantía debido a que es una experiencia enriquecedora que permite poner en práctica los conocimientos adquiridos durante la carrera y complementar los contenidos de la misma con habilidades laborales que no hacen parte del plan de estudios. LuloFilms fue la empresa seleccionada para realizar la pasantía debido a que es una productora con una gran trayectoria en medios audiovisuales. Con sede en Bogotá y en Toronto, LuloFilms ha realizado proyectos con Discovery Channel, National Geographic, Cine Colombia y Canal Caracol, entre otros. Durante la pasantía se trabajó con proyectos cinematográficos, producciones para televisión, comerciales y etc. Fue una experiencia muy valiosa en la que se adquirieron nuevos conocimientos y habilidades y se tuvo un beneficioso acercamiento al mundo laboral.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".