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Die "ander": Lukaanse Jesus en Lévinas

2023· article· af· W4390922663 on OpenAlexaff
A Becker-FerreiraI, E van EckII

Bibliographic record

VenueTydskrif vir Geesteswetenskappe · 2023
Typearticle
Languageaf
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTheologyPhilosophyWord (group theory)Linguistics

Abstract

fetched live from OpenAlex

Emmanuel Lévinas se filosofie van die "ander" word ondersoek en in gesprek gebring met hoe die Lukaanse Jesus sy "ander" hanteer het. Die fokus van Lévinas se filosofiese werke is die voorrang van 'n etiese verhouding van die "self' met die "ander". Deur gebruik te maak van die sosiaalwetenskaplike metode, word Jesus se gesindheid en optrede teenoor sy "ander" in die evangelie van Lukas oorweeg. Jesus skep nuwe koninkrykswaardes en sluit mense wat "anders" was in die familie van God in. In hierdie nuwe koninkryk word grense en vooroordele wat deur etnisiteit, geslag, status en ouderdom geskep word, tot niet gemaak. Die raakpunte tussen Jesus se hantering van die "ander" vanuit 'n seleksie van Lukaanse tekste en Lévinas se filosofie, word bespreek. 'n Voorstel oor wat Suid-Afrikaners oor andersheid, gelykheid en diversiteit kan leer en 'n benadering om buitestanders te omhels, word gemaak.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0020.003
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 head0.031
GPT teacher head0.264
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
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

Citations1
Published2023
Admission routes1
Has abstractyes

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