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Record W799740799

"Wyspa", "Car" i "Dyrygent": Biblia oczami Pawła Łungina

2014· article· pl· W799740799 on OpenAlexaboutno aff
Marek Lis

Bibliographic record

VenueStudia Filmoznawcze · 2014
Typearticle
Languagepl
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPassionTrilogyGospelChristianityArtEmperorLiteraturePhilosophyMusicalNarrativeHistoryTheologyArt historyAncient history
DOInot available

Abstract

fetched live from OpenAlex

THE ISLAND, TSAR AND THE CONDUCTOR: THE BIBLE READ BY PAVEL LUNGINSeveral critics have observed that recent films by Pavel Lungin are immersed in the universe of the Russian Orthodox Church: the main figure of The Island is a contrite monk, Tsar relates a conflict between Ivan the Terrible and the metropolitan of Moscow, in The Conductor Lungin tells dramatic evolution of the premiere of musical St. Matthew Passion.This religious milieu of the films is not limited to Orthodox Christianity: a detailed analysis reveals the presence of biblical sources of dialogues or of the construction of the films. The Island is a kind of meditation on the Psalms, the Gospel and St. Paul’s theology of the sin and its redemption. Tsar is situated in a Pre-Apocaliptic world: the cruel Russian emperor is convinced of the imminence of the Judgement Day and of his role of the king anointed by God. In The Conductor — like in Jesus of Montreal — the Passion of the Christ is present on diverse levels: sung in the Passion composed by Hilarion Alfeyev, lived by its singers and conductor, perverted in a suicide bombing. In this trilogy the Bible is cited, actualized in the events, present in the structure of the movie narration.Translated by Marek Lis

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0180.006

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 head0.025
GPT teacher head0.275
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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