Bibliographic record
Abstract
Contiene: \n-\tSalutación. \n-\tFoto reina infantil 1986, Mª Teresa Blasco Pesudo. \n-\tDamas de la ciudad. \n-\tDamas de la ciudad infantiles. \n-\tA Marta Preludi de primavera, por M.P.S. \n-\tPresentacion official de las reinas y damas en el ayuntamiento. \n-\tEl Guerra, por Jaime Nos. \n-\tLes festes majors de Castelló, fotos Wamba. \n-\tLa tornada de la Romeria de les Canyes per la Basílica del Lledó, per Josep Miquel Francés Camus. \n-\tNa Violant d´Hongria 1986, Amalia Gomez Lauterio, por M. Gil. \n-\tLas Madrinas infantiles de este año. \n-\tEl justillo I el Gipó, por Paquita Roca e Imma Puig. \n-\tImposicion de bandas. \n-\tEntrevista con la reina d elas fiestas, Marta Masip Borrull, por Vicente Escura. \n-\tLlamada de atención del II Congreso Magdalenero sobre el Castell Vell. \n-\tPrograma de fiestas. \n-\tIn memoriam, el pintor Badia, por G. Adrian. \n-\tLas madrinas de este año. \n-\tDos ausencias en la Piedra historica de Castellón, por Roberto Pérez de Heredia Valle. \n-\tLa romeria. \n-\tEntrevista con la reina infantil, Mª Teresa Blasco Pesudo, por M. Polo. \n-\tA la Magdalena, por V.P.B. \n-\tLas Alpargatas misteriosas. \n-\tMamas previsoras, por Coromito. \n-\tIrene, Sonia, Inmaculada, Tere, Maria y Gemma. Por J.L. Serrano. \n-\tPoesía. \n-\tLos niños de fiestas \n-\tEvocación presentación gayatas. \n-\tGaiatera 1986 de la casa de Valencia en Barcelona, Montserrat Aymat Paulo. \n-\tCastellón 1986. \n-\tLas reinas falleras de Burriana. \n-\tMi pregon, por Aristide Martin Seco. \n-\tOcurrió en una mágica ciudad, por Mª Dolores Muriach. \n-\tPágina de humor.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.310 | 0.188 |
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; the direct Gemma label and the distilled Codex classifier 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".