Bibliographic record
Abstract
Contiene: - Salutación. - Foto reina infantil 1986, Mª Teresa Blasco Pesudo. - Damas de la ciudad. - Damas de la ciudad infantiles. - A Marta Preludi de primavera, por M.P.S. - Presentacion official de las reinas y damas en el ayuntamiento. - El Guerra, por Jaime Nos. - Les festes majors de Castelló, fotos Wamba. - La tornada de la Romeria de les Canyes per la Basílica del Lledó, per Josep Miquel Francés Camus. - Na Violant d´Hongria 1986, Amalia Gomez Lauterio, por M. Gil. - Las Madrinas infantiles de este año. - El justillo I el Gipó, por Paquita Roca e Imma Puig. - Imposicion de bandas. - Entrevista con la reina d elas fiestas, Marta Masip Borrull, por Vicente Escura. - Llamada de atención del II Congreso Magdalenero sobre el Castell Vell. - Programa de fiestas. - In memoriam, el pintor Badia, por G. Adrian. - Las madrinas de este año. - Dos ausencias en la Piedra historica de Castellón, por Roberto Pérez de Heredia Valle. - La romeria. - Entrevista con la reina infantil, Mª Teresa Blasco Pesudo, por M. Polo. - A la Magdalena, por V.P.B. - Las Alpargatas misteriosas. - Mamas previsoras, por Coromito. - Irene, Sonia, Inmaculada, Tere, Maria y Gemma. Por J.L. Serrano. - Poesía. - Los niños de fiestas - Evocación presentación gayatas. - Gaiatera 1986 de la casa de Valencia en Barcelona, Montserrat Aymat Paulo. - Castellón 1986. - Las reinas falleras de Burriana. - Mi pregon, por Aristide Martin Seco. - Ocurrió en una mágica ciudad, por Mª Dolores Muriach. - Página 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".