Árbol llamando a árbol, ¿hay alguien ahí? Taller de naturalezas artificiales y performativas
Classification
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".
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
El artículo cuenta cómo se han usado modelos paramétricos, técnicas de fabricación digital y un software audiovisual para que una réplica de la estructura arborescente diseñada por los equipos de Alicante y Delft se pudiera llevar al Reference Library de Toronto (Canadá) y permitir la comunicación virtual con el modelo original situado en L’Escorxador de Elche. Esto permitió establecer el diálogo entre lo que acontecía en ambos espacios: la acción de las personas que visitaban la instalación en uno de los portales era recogida por los sensores, transformada en datos y enviada al otro portal a través de internet, donde se traducían en sonidos y pulsos de luz. Los prototipos desarrollados por los estudiantes de la UA, injertados en el árbol de Elche, supusieron un ejercicio académico experimental que pone en valor cómo los humanos nos podemos relacionar con otras entidades naturales, ayudándonos de la tecnología como interface que capta, mide, registra, procesa y responde.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it