Memoria del TFG: Localización del videojuego francés Pendrillons
Bibliographic record
Abstract
En la Memoria de este Trabajo de Fin de Grado que se centra en el campo de la localización de videojuegos, concretamente en simular un encargo profesional de un videojuego indie o independiente, del francés al español, se describe el proceso de seguido para la localización del videojuego Pendrillons. A pesar de ser descrito como un RPG por sus creadores, el juego podría encajar también en el género de novela visual. Fue creado por un equipo de estudiantes de la Universidad de Montréal. Este videojuego tiene una ambientación teatral que fusiona el diálogo interactivo, combate por turnos con habilidades «escénicas» que cambiarán en función del arquetipo que elija el jugador y una mecánica que medirá el entusiasmo de público ante la puesta en escena del jugador, decidiendo así el desenlace de su historia.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".