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Mourning Women, the Voice of God, and the Limits of Lament: Women’s Songs of Lament in Jeremiah

2023· article· en· W4396528850 on OpenAlex
Lissa M. Wray Beal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBulletin for Biblical Research · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsWycliffe College
Fundersnot available
KeywordsLamentHistoryLiteratureArt

Abstract

fetched live from OpenAlex

Abstract The book of Jeremiah contains metaphors depicting Israel and Zion as a woman. These include the city as a mourning woman (4:19–21; 10:20). Real mourning women are addressed in Jer 9:17–22, following laments variously attributed to Jeremiah and/or Yahweh (8:18–9:2, 10). Working with the (MT) canonical form and engaging the insights of trauma studies, this article traces linguistic and thematic connections between the two passages before tracing similar connections to Rachel’s lament (Jer 31). The mourning women in Jer 9 serve a societal role by giving voice to lament; this effective power is affirmed by trauma studies. When read alongside the lament by Jeremiah and/or Yahweh, this article notes the women also take up a prophetic role as with Jeremiah they embody and express Yahweh’s own pathos. In ch. 31, the mourning women are metaphorically instantiated in the eponymous mother who also voices Yahweh’s pathos yet remains uncomforted. This study points to the hope that arises from Yahweh’s identification with his people in the pathos expressed by prophet, mourning women, and Rachel. Ultimately, Yahweh’s identification with his people, and his words of hope offer comfort to unrequited lament.

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.

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)0.005
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.123
GPT teacher head0.361
Teacher spread0.238 · 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