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Record W4409943675 · doi:10.5771/9781666969818

Paradoxes in God's Garden

2024· book· en· W4409943675 on OpenAlexaboutno aff

Bibliographic record

VenueLexington Books · 2024
Typebook
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsAestheticsPhilosophyArtHistory

Abstract

fetched live from OpenAlex

This edited collection offers new perspectives on perceived paradoxes in Israel’s religious heritage, with a particular focus on the Garden of Eden narrative and descriptions of Israel’s God. The chapters examine a number of themes related to these paradoxes, including (1) “knowledge” versus “life” (referencing the two Edenic trees); (2) paradoxes pertaining to knowledge in the biblical versus Socratic traditions and the Platonic “good” versus the apparent eschewing of the good-evil dichotomy in Garden of Eden; (3) difficulties implicating finitude versus infinity; (4) God’s Edenic garden versus rabbinical “orchard,” or Pardes, the traditional fourfold manner of Torah interpretation; (5) the question of the Sôd, or “secret” esoteric stratum or narrative channel within the text of the Torah; (6) the issue of idolatry; (7) the nature of Israel’s deity; (8) a comparative glimpse of the Israelite God vis-à-vis relevant Christian and Buddhist glosses on divinity; and (9) science-fictional explorations of the biblical exegesis discourse. The volume’s contributors are based in Canada; England; Poland; Israel; and the United States.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.022
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.031
GPT teacher head0.241
Teacher spread0.210 · 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 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
Published2024
Admission routes1
Has abstractyes

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