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Record W2018085107 · doi:10.1177/0008429809355750

Speaking in Tongues, Dancing with Ghosts: Redescription, Translation, and the Language of Resurrection

2010· article· en· W2018085107 on OpenAlexaffvenue
John W. Parrish

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnalogyConstructiveDanceExtension (predicate logic)PhilosophySociologyHeuristicScheme (mathematics)EpistemologyLinguisticsLiteratureArtComputer scienceMathematics

Abstract

fetched live from OpenAlex

This essay provides a constructive critique and extension of Jonathan Z. Smith’s writings on Paul and 1 Corinthians. Beginning with a demonstration of the problems with applying Smith’s locative/utopian dichotomy to Paul and the Corinthians, I argue that this theoretical scheme renders the Corinthians’ acceptance of Paul’s message incomprehensible. Smith’s later scheme of ‘‘here, there, and anywhere’’ provides a more useful heuristic. Following an analysis of the social and religious setting of 1 Corinthians, I explore the analogous case of the 1870 Ghost Dance as it developed among the Paiute of Western Nevada. After briefly discussing the implications of this analogy for our understanding of the Corinthian Christ group (and early Christianities generally), I conclude that both the Corinthians and the Paiute are displaced religions of ‘‘here’’ that have experimented with features characteristic of the religions of ‘‘anywhere.’’ This cross-cultural description provides our models of Paul and the Corinthians with a sounder anthropological footing than they might previously have had.

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)0.008
metaresearch head score (Gemma)0.013
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: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.037
Scholarly communication0.0070.008
Open science0.0020.005
Research integrity0.0020.004
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 head0.050
GPT teacher head0.314
Teacher spread0.264 · 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
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

Citations0
Published2010
Admission routes2
Has abstractyes

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