Bibliographic record
Abstract
After the fall of communism in 1989, Romania, as others countries from Central and Eastern Europe, had to deal with its recent past marked by two dictatorships, one on the extreme right, the other on the extreme left. However, it seems that the post-communist society is rather preoccupied by the consequences of the communist regime than the fascist one. As the anti-communist narrative has become mainstream since the beginning of the 2000s, the victims of communist prisons received more and more attention. Several voices asked for the canonization of those prisoners that distinguished themselves for their belief. The Aiud “prison saints” are part of this current. Their stories are not simple and neither is the history: some of those who died in communist prisons were affiliated to the extreme right in the 1930s and the 1940s. While the Orthodox Church avoids to discuss their canonization, the new “saints” became the object of a popular devotion, which gathers together not only believers, but also representatives of the Church and the civil society. This article explores what the devotion for “prison saints” represents in the lived religion. Following the pilgrims to Aiud monastery and narratives concerning the “prison saints,” it appears that their veneration is not “natural,” but rather the result of a construction. As it turns out, lived religion is a vehicle for values diverging from the official democratic discourse.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".