Bibliographic record
Abstract
En este artículo analizamos cómo los imaginarios sobre lo «sefardí» fueron moldeados por las respectivas leyes de nacionalidad por origen sefardí de España y Portugal aprobadas en 2015. A partir de un análisis de la presencia y las búsquedas de palabras asociadas con lo «sefardí» en Google Ngram y Google Trends, así como de noticias y artículos sobre estos temas en la base de datos Factiva, observamos la emergencia de varios imaginarios que rompen con la visión más tradicional etnocéntrica sobre los judíos sefardíes. Más que una comunidad imaginada con una conciencia pública más o menos homogénea, nuestro estudio revela formas disjuntas de concebir lo «sefardí», incluyendo categorías poco convencionales como la «nacionalidad sefardí» y más problemáticas como los «sefardíes sospechosos» de no serlo, todas ellas bajo la influencia por intereses individuales, políticos, económicos y culturales.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".