MétaCan
Menu
Back to cohort
Record W2603307852 · doi:10.1093/jts/flx091

Jesus of Nazareth: Jew from Galilee, Savior of the World. By Jens Schröter. Translated by Wayne Coppins.

2017· article· en· W2603307852 on OpenAlexaff
Steven Muir

Bibliographic record

VenueThe Journal of Theological Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsHistorical JesusApocryphaNew TestamentGermanHistoryChristianityClassicsReprintPhilosophyReligious studiesTheologyArt historyLiteratureArtArchaeology

Abstract

fetched live from OpenAlex

Jens Schröter is Professor of New Testament and Ancient Christian Apocrypha at Humboldt University of Berlin. He is a prolific author and editor in the field of early Christianity. The present book is a translation of Schröter’s 2012 similarly titled German book, and it offers a detailed discussion bringing together two fields: research into the historical Jesus and the development of early and later traditions about Jesus. This deliberate choice is signalled in the title, leading to an initial reservation on the part of the reviewer. To say that Jesus was a ‘Jew from Nazareth’ is a statement fitting within the arena of Historical Jesus research. However, the claim that Jesus was ‘Savior of the World’ is a christological one, a field separate from Historical Jesus research. One does not always find such a combination in a single work. Essentially, Schröter proposes a particular and nuanced reconstruction of the historical Jesus, and then offers assessments of how closely various traditions about Jesus fit that reconstruction.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.006

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 head0.076
GPT teacher head0.309
Teacher spread0.233 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Theological StudiesSame topicBiblical Studies and InterpretationFrench-language works237,207