La identidad nacional y la religión. Un marco analítico aplicado al País Vasco y Quebec
Bibliographic record
Abstract
Las relaciones entre la identidad nacional y la religión son complejas debido a la falta de una definición legítima o consensuada de cada uno de estos dos objetos de estudio. Este artículo persigue elaborar un marco de análisis para dar cuenta de esta relación, partiendo para ello de una problematización de ambos conceptos que atiende a sus definiciones y a las rupturas epistemológicas que han permitido repensarlos en nuevos dominios teóricos. Tras ello, se profundiza en dichas relaciones, prestando atención al papel de la religión histórica como marcador de identidad nacional y a la sacralización de la historia y territorio nacional. Para dar muestras de su potencialidad, este marco analítico se aplicará de forma comparada a Quebec y el País Vasco.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".