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Record W3091890352

Septuagintal Versus Masoretic Chronology in Genesis 5 and 11

2003· article· en· W3091890352 on OpenAlexfundno aff
Jeremy Young

Bibliographic record

VenueDigitalCommons-Cedarville (Cedarville University) · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
FundersQueen's University
KeywordsChronologyGeologyHistoryPaleontology
DOInot available

Abstract

fetched live from OpenAlex

As a result of analyzing the Dead Sea Scrolls, numerous scholars have concluded that before the firstcentury standardization of the Hebrew Masoretic text and the imposition of external rabbinical controls, some scribes employed text-correctional procedures, which are discoverable by comparing the extant textual witnesses. An analysis of three records indicates conscious harmonization of the chronological data rather than accidental error, perhaps in order to correct suspected errors or to conform to certain theological views. Patriarchal ages at death in Genesis 5 seem to have been recorded using the ancient sexagesimal numerical system, testifying to their great antiquity and providing a diagnostic test for reported ages in other biographical categories. Applying text-critical criteria to the evidence of the ages at paternity in the three traditions tends to the inference that the greater ages found in the Septuagint may be more independent, older, and possibly more original, with a stronger claim to authenticity than the lower ages reported in the Masoretic Text or the Samaritan Pentateuch.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.195
Teacher spread0.171 · 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
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

Citations4
Published2003
Admission routes1
Has abstractyes

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