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Religion and Politics in Post-Communist Romania

2007· book· en· W71538948 on OpenAlexaff
Lavinia Stan, Lucian Turcescu

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsConcordia UniversitySt. Francis Xavier University
Fundersnot available
KeywordsPoliticsCommunismDisenchantmentPolitical scienceDemocracyState (computer science)DemocratizationCommunist stateElitePolitical economyNationalismSociologyLaw

Abstract

fetched live from OpenAlex

Abstract Religious groups have emerged as powerful political actors in post‐communist Eastern Europe, especially in predominantly Christian Orthodox countries like Romania. The book discusses the interplay between religion and politics in six major areas of public affairs—nationalism and ethnic identity; confronting the communist past; restitution of Greek Catholic property abusively confiscated by communist authorities; elections and membership in political parties; religious instruction in public schools at pre‐university level; and sexuality, including abortion and prostitution. In each area, it discusses the negotiations between religious, political actors and civil society representatives; the dominance of the Orthodox Church relative to other religious groups; and the influence of denominations on legislation and governmental policy. While the Orthodox Church has asked for recognition as state, national church, religious minorities demanded equality, and the civil society asked for separation of church and state, Romanian post‐communist authorities have maintained a tight grip on religious affairs.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.017
GPT teacher head0.325
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations73
Published2007
Admission routes1
Has abstractyes

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