Bibliographic record
Abstract
Kozue y Dan Kitchens forman el duo de artistas/ilustradores, con sede el Los Angeles, conocido comom Kozyndan. Ejecutan, mezclando de forma magistral la tradicion de la pintura manual y la tecnologia del coloreado digital, detallados y llamativos dibujos inspirados en paisajes urbanos reales que, tras una observacion minuciosa, traslucen sensacionales imagenes absurdas con marcados tintes oniricos. Ademas de los proyectos personales, Kozyndan ha realizado trabajos comerciales que incluyen cubiertas para allbumes de Weezer, Postal Service, Daedelus, John Mayer y Lyrics Born; graficas y textil para Electronic Arts, RES Fest, Converse, Hieden+Kennedy, Nike y Puma; e ilustraciones para revistas como Adbusters, Tokion, Relax, giant Robot, colors o XLR8R. Sus obras personales han sido reproducidas tambien en formato poster, en camisetas, en libros y expuestas en galerias y museos a lo largo de todo el planeta, incluyendo lugares tan distantes como EEUU, Canada, Nueva Zelanda, Inglaterra, Australia o Espana.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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; both teacher heads agree on what is shown here.
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".