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Record W2325774168 · doi:10.1163/15685152-00231p05

The Apotheosis of Rage

2015· article· en· W2325774168 on OpenAlexaff
T. M. Lemos

Bibliographic record

VenueBiblical Interpretation · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsIsraelitesRage (emotion)AngerContemptBlasphemySympathyHebrew BiblePsychologyBiblical studiesDepictionApotheosisPsychoanalysisSocial psychologyLiteraturePhilosophyTheologyArt

Abstract

fetched live from OpenAlex

Recent psychological research on post-traumatic stress disorder (PTSD) has demonstrated that one of the most common symptoms of the disorder is heightened or even uncontrollable anger. In the past decade, various works in biblical studies have assessed the effects of trauma on the ancient Israelites and on the texts of the Hebrew Bible, but these have not fully explored either the connection between anger and PTSD or that between anger in the Hebrew Bible and Israelite trauma. This article seeks to demonstrate the close relationship between trauma and rage, and argues that biblical authors often locate their own traumatized rage in the figure of Yahweh. The emotional response of Yahweh toward the Israelites is frequently presented as one of rage, blame, and contempt – a trio of socially distancing emotions. This depiction of Yahweh results in a “theology of distance” wherein Yahweh’s furious emotionality negates the sympathy of audiences toward the traumatized Israelites.

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)0.003
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.017
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
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 head0.043
GPT teacher head0.331
Teacher spread0.288 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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