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Record W1967838372 · doi:10.1017/s0017816013000138

Conquest and Form: Narrativity in Joshua 5–11 and Historical Discourse in Ancient Judah

2013· article· en· W1967838372 on OpenAlexaff
Ian D. Wilson

Bibliographic record

VenueHarvard Theological Review · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCONQUESTNarrativeNarrativityHistoriographyPeriod (music)LiteratureHistoryExtant taxonSociocultural evolutionPhilosophyAncient historyArtSociologyArchaeologyAnthropologyAesthetics

Abstract

fetched live from OpenAlex

One goal of this essay is to offer an exploratory, historiographical analysis of the conquest account in the book of Joshua, an analysis that focuses upon the sociocultural milieu of ancient Judah. I propose to show how this narrative of conquest might have contributed to discourse(s) among the literate Judean community that perpetuated the text, and I will offer a few thoughts on the potential relationship between the narrative and the supposed cultic reforms of the late seventh century b.c.e . A number of biblical scholars have argued that the late monarchic period gave rise to the conquest story as recounted in Joshua. In this essay, I would like to pay special attention to precisely how this narrative might have functioned within the milieu of the late monarchic period, thus refining our understanding of the narrative's contribution to the discourses of this era and our knowledge of its relationship to other narratives that were probably extant at the same time. In other words, what particular features of the narrative might have had special import in this period? Specifically, I will argue that the narrative reveals certain discursive statements about Yahweh's cultic supremacy and about important cultic sites in late monarchic Judah, and that this is evident in particular narratival features that are present in the text.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.267
Teacher spread0.219 · 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
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

Citations5
Published2013
Admission routes1
Has abstractyes

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