Tabla 1. Análisis de I-Docs según temática, función del usuario, modo y tipo de interacción
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
<strong>Análisis comparativo de documentales interactivos, </strong> <strong>según temática, función del usuario, modo y tipo de interac<br> ción. Se realizó a partir del visionado de aquellos I-Docs premiados por la NFB -National Film Board of Canada-, IDFA DocLab –International Documentary Filmfestival Amsterdam, MIT -Open Documentary Lab, Media lab and Comparative Media Studies/Writing-, UWE -University of the West of England-. Con el objetivo de clasificar los I-Docs según el modo, grado y tipo de interactividad de acuerdo al género del documental y en relación con la función del usuario se tuvo en cuenta las categorizaciones de Aarseth y las taxonomías de Gaudenzi y Gifreu.</strong>
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.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.045 |
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