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Record W3094362555 · doi:10.1163/15685179-bja10014

Register and Rhetoric

2020· article· en· W3094362555 on OpenAlexaff
Alec Kienzle

Bibliographic record

VenueDead Sea Discoveries · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRegister (sociolinguistics)RhetoricVernacularNarrativeLinguisticsSkepticismHebrew BibleLiteratureBiblical studiesHistoryPhilosophyArtEpistemology

Abstract

fetched live from OpenAlex

Abstract Despite 4 QMMT having been informally called a “Halakhic Letter” since its first publication, more recently some scholars have expressed skepticism as to the original genre of this text. This article aims to provide empirical and theoretical support for what one might call the orthodox position: that this text was in fact a letter originally. By means of a detailed linguistic comparison between 4 QMMT and the Damascus Document, it will be shown that despite many surface similarities between these texts in terms of structure and rhetoric, they present extremely divergent grammars. This in turn raises a fundamental question: how could two texts likely produced by the same community be so different linguistically? It will be argued that the most plausible explanation is that these two texts were written in distinct registers in order to accommodate to distinct literary genres. While the language of MMT can reasonably be called closer to the contemporary vernacular, the Damascus Document seems to be patterned after the language of the higher register of biblical narrative. From here, sociolinguistic research will be employed in an effort to show that the epistolary genre reliably reflects a lower register across languages and cultures, thereby justifying the orthodox position with respect to MMT .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.223
Teacher spread0.175 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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