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Record W2056724796 · doi:10.5508/jhs.2006.v6.a10

The Formation and Intention of the Haggai-Zechariah Corpus

2009· article· en· W2056724796 on OpenAlexvenueno aff
Jakob Wöhrle

Bibliographic record

VenueJournal of Hebrew Scriptures · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsRedactionOrder (exchange)PhilosophyLiteraturePosition (finance)Composition (language)Period (music)HistoryLinguisticsArtAesthetics

Abstract

fetched live from OpenAlex

Because of the similar dating system in the books of Haggai and Zechariah, since the end of the 19th century it has been proposed that these two books once formed an independent collection: the Haggai-Zechariah corpus. But neither the formation nor the intention of this corpus has been adequately explained. This article shows that only the book of Zechariah underwent redaction in the course of the composition of this “Book of the Two.” This position stands in contrast with the common assumption that both books underwent redaction in the process. Then the article shows that the Haggai-Zechariah corpus can be understood as a reaction to the decreasing hope for divine salvation in the fifth century. In the light of, and despite the negative experiences that characterize this period, the Haggai-Zechariah corpus adheres to the promises of the early pre-exilic prophecy. But in order to adhere to these promises, the conditions for their fulfillment had to be (re)defined.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0050.020
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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 designTheoretical or conceptual
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

Citations2
Published2009
Admission routes1
Has abstractyes

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