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Record W4398185331 · doi:10.3138/tjt-2024-0013

God as both Hierarchical and Egalitarian: A Kierkegaardian Proposal Based on <i>Philosophical Fragments</i>

2024· article· en· W4398185331 on OpenAlexvenueno aff
Jaeha Woo

Bibliographic record

VenueToronto Journal of Theology · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyEpistemologySociologyTheology

Abstract

fetched live from OpenAlex

[Figure: see text] After highlighting Søren Kierkegaard's emphasis on the absolute difference between God and humans, this article presents his explanation of why we can readily embrace our inferior position to God, which appeals to his understanding of love as involving the desire to be the guilty party. But this argument can be turned around to make a case that God would desire to be the guilty party in relation to us. This fits well with the story of God's love in Kierkegaard's pseudonymous writing Philosophical Fragments, in which divine incarnation is interpreted as God's descent in history to establish equality with humans. After arguing that such a kenotic Christology is not incompatible with the absolute God-human difference because it accentuates the fact that only God can cross the divide, the author points out its similarity with Marilyn Adams’ view that God became the curse in Jesus to cancel out the power of the curse of sin. He finishes by dealing with the worry that, despite divine descent, some humans may be unable to stand boldly confident before God because of their memory of what their sinfulness has caused. One way to alleviate this worry is to adopt the Irenaean affirmation of God's ultimate responsibility, and the author claims that this would complete Kierkegaard's Philosophical Fragments by adding an interpretation of the crucifixion in line with its story of divine descent.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.043
Scholarly communication0.0090.010
Open science0.0030.004
Research integrity0.0040.005
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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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 designTheoretical or conceptual
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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