Col·loqui posterior de "Col·lecció privada. Programa 1" primera part.
Bibliographic record
Abstract
En els últims quinze anys hem assistit al boom d'una xarxa de cineastes, institucions, escoles i laboratoris dedicada a mantenir viva la cultura del cinema analògic en ciutats com Barcelona, Madrid, Sant Sebastià i La Corunya.<br/> \nDesprés del seu pas per Nova York, mostrem a Barcelona una nova configuració del cicle "Col·lecció privada". Amb l'amistat i l'intercanvi de coneixements, materials i influències com a motor, els tres programes recorren aquesta escena de cinema poètic, filmat i projectat en Súper8 i 16mm.<br/> Moderen els programadors Carlos Saldaña i Francisco Algarín Navarro (Revista Lumière) amb la participació dels cineastes: Blanca García, Claudio Sodi, Nicole Remy, Carlos Baixauli, Cecília Ruiz, Biviana Chauchi, Céline Latil, Yonai Boix, Maria Pipla, Ariadna Onofri, Álvaro Feldman, Esperanza Collado, Juan Bufill, Jorge Suárez, Quiñones Rivas i Albert Triviño.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".