The Other Dead. An Ethnohistorical Approach to Religious Diversity in the Spanish Cemeteries
Bibliographic record
Abstract
Cemeteries become social spaces where many symbolic meanings converge both in their material and immaterial dimensions, and perhaps above all, in their expression of communities and their construction of identities and otherness. This article explores how religious diversity has found its place within Spanish cemeteries. Although this debate is linked to contemporary immigration and the religious groups it has brought, religious diversity has challenged Spanish funerary customs for a long time. As we will argue in this article, the debates around where to put the “other dead” are an inherent part of funerary heritage in Spain. By looking at four spaces dedicated to the burial of non-Catholics who died in Spain, we will attempt to show how some symbolic and identity-based constants related to the separation of graves persist today and how Spanish society is opening up to considering burial spaces as part of a common heritage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".