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Apocalyptic

2021· other· en· W4207060155 on OpenAlexaff
Enrico G. Raffaelli

Bibliographic record

VenueThe Encyclopedia of Ancient History · 2021
Typeother
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZoroastrianismEschatologyNinthIslamPeriod (music)LiteraturePhilosophyDoctrineHistoryAncient historyTheologyArtAesthetics

Abstract

fetched live from OpenAlex

This entry focuses on views on the end of time, and on the apocalyptic views (defined as the views on an upheaval of existence caused by evil forces, and a subsequent reestablishment of order thanks to the action of good entities), in Zoroastrianism between the pre‐Islamic period and the early Islamic period (ninth–tenth centuries ce ) of Iranian history. It first examines the main views on the end of time according to the Avesta, the sacred textual corpus of Zoroastrianism. It explains how the main doctrine of Avestan eschatology is that, at the end of history, evil is eliminated from the cosmos. The entry then focuses on the apocalyptic views contained in the Zoroastrian Pahlavi literature, which are also rooted in the view that evil is ultimately defeated. It outlines the apocalyptic events taking place in the final three of the twelve millennia into which history is divided according to Pahlavi literature, and describes the events that accompany the final elimination of evil according to this literature. The entry provides some information on the main Pahlavi source with apocalyptic contents, the “Explanation of the Hymn of Wahman,” a text dating probably to the ninth century ce . The entry also briefly discusses the traces of knowledge outside of the Zoroastrian community, in the period it discusses, of Zoroastrian views on the end of time. Finally, it addresses the question of the possible impact of Zoroastrian views on the end of time on Judaism and Christianity.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.071
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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.

Opus teacher head0.025
GPT teacher head0.266
Teacher spread0.241 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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