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Matthew’s Mission and Supersessionism

2024· article· en· W4403890457 on OpenAlexaff
Wayne Baxter

Bibliographic record

VenueBulletin for Biblical Research · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicPentecostalism and Christianity Studies
Canadian institutionsHeritage College and Seminary
Fundersnot available
KeywordsHistoryAeronauticsEngineering

Abstract

fetched live from OpenAlex

Abstract Who was Matthew trying to reach with his particular version of the message of Jesus of Nazareth? When examining the question of Matthew’s social setting, scholars tend to focus either on the evangelist’s socioreligious orientation or that of his original audience. An overlooked entry point into this monumental debate is Matthew’s mission field: those people outside of the Jesus movement but living in relationship to Matthew and his communities, whom they were seeking to reach with their brand of the gospel of the kingdom. Although Matthew wrote his Gospel to address Christ-believing communities, he did so within the wider social context of instructing his people in their mission to “make disciples of all the nations.” The evangelist, then, would have crafted his story of Jesus to fit with his mission. The socioreligious orientation of the group best suited to hear and receive his message would represent his mission field. This study seeks to demonstrate that the evangelist’s attitude toward Jews and gentiles in his Gospel reveals that Matthew sought to address his fellow Jews, and in a way that reveals a non-supersessionist perspective.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.250
GPT teacher head0.423
Teacher spread0.173 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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