Bibliographic record
Abstract
LARGOMETRAJE EL MAGO, OPERA PRIMA DE JAIME APARICIO, PRODUCIDA POR CENTRO UNIVERSITARIO DE ESTUDIOS CINEMATOGR FICOS (CUEC) Y INSTITUTO MEXICANO DE CINEMATOGRAFIA (IMCINE), CONTINUA SU PROGRAMA DE PROMOCION EN FESTIVALES INTERNACIONALES. LA CINTA CUENTA YA CON UN CALENDARIO DE EXHIBICION EN DISTINTOS CONTINENTES, DESPUES DE OBTENER ZENIT DE ORO A LA MEJOR OPERA PRIMA DEL FESTIVAL INTERNACIONAL DE CINE DE MONTREAL, CANAD , Y PARTICIPAR, ENTRE 10 Y 17 DE NOVIEMBRE, EN FESTIVAL INTERNACIONAL DE CALCUTA, INDIA, EN LA SECCION FORO DE NUEVO CINE. ANTES DE QUE CONCLUYA ANO YA SE TIENE CONFIRMADA SU PARTICIPACION EN LA SECCION OFICIAL DEL 30 FESTIVAL DE CINE IBEROAMERICANO DE HUELVA, ESPANA, QUE SE REALIZAR DEL 13 AL 20 DE DICIEMBRE, COMPITIENDO CON OTRAS 11 PRODUCCIONES LATINOAMERICANAS. ASIMISMO, EL MAGO HA SIDO INVITADA A PARTICIPAR EN LA SECCION OFICIAL DEL FESTIVAL INTERNACIONAL DEL CAIRO, EGIPTO, CUAL SE REALIZAR 30 DE NOVIEMBRE AL 10 DE DICIEMBRE. POR OTRA PARTE, FESTIVAL DE NUEVO CINE LATINOAMERICANO DE LA HABANA, CUBA, QUE SE EFECTUAR DEL 7 AL 17 DE DICIEMBRE, HA SELECCIONADO A LA MENCIONADA CINTA PARA CONCURSO APERA PRIMA. EN ESE MISMO FESTIVAL, PARA LA SECCION OFICIAL DE CORTOMETRAJE, EST CONFIRMADA LA PARTICIPACION DE LA TESIS FILMICA ZONA CERO, DE CAROLINA RIVAS.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.553 | 0.331 |
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".