Names of saints and holidays in various Romanian ethnographic areas and cultural spaces
Bibliographic record
Abstract
The paper aims to highlight two aspects: on the one hand, to what extent names of saints interact with names of holidays in the Christian (Orthodox, Greek-Catholic, Roman-Catholic) calendar and in the folk calendar; on the other hand, whether names of saints and/or holidays in Romanian cultural space can be found in other cultural spaces. Upon looking at names of saints and holidays over the year in the calendars mentioned above, sometimes we notice similarities or contaminations, whereas on other occasions we come across differences. We focus our attention on twelve saints, correlated with twelve holidays over the year, celebrated by Christians regardless of religious confession and cultural space. The regional names of the holidays from various Romanian ethnographic areas attest to their age. The complexity of this research is underpinned by our synchronic analysis and interdisciplinary perspective (linguistics, ethnology, religion, mythology), which also refers to identity-otherness relationships, eponyms, isotopies, synonymy and antinomy connections, contamination and multiculturalism in onomastics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".