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Record W2106570093 · doi:10.4102/ve.v35i1.883

The ethics of absolute relativity: An eschatological ontological model for interpreting the Sermon on the Mount

2014· article· en· W2106570093 on OpenAlexaff
André van Oudtshoorn

Bibliographic record

VenueVerbum et Ecclesia · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicChristian Theology and Mission
Canadian institutionsAlberta Bible College
Fundersnot available
KeywordsSermonEmbarrassmentAbsolute (philosophy)FaithDialecticPhilosophyMountIncarnationTheologySociologyEpistemologyAestheticsSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Jesus� imperatives in the Sermon on the Mount continue to play a significant role in Christian ethical discussions. The tension between the radical demands of Jesus and the impossibility of living this out within the everyday world has been noted by many scholars. In this article, an eschatological-ontological model, based on the social construction of reality, is developed to show that this dialectic is not necessarily an embarrassment to the church but, instead, belongs to the essence of the church as the recipient of the Spirit of Christ and as called by him to exist now in terms of the coming new age that has already been realised in Christ. The absolute demands of Jesus� imperatives, it is argued, must relativise all other interpretations of reality whilst the world, in turn, relativises Jesus� own definition of what �is� and therefore also the injunctions to his disciples on how to live within this world. This process of radical relativisation provides a critical framework for Christian living. The church must expect, and do, the impossible within this world through her faith in Christ who recreates and redefines reality. The church�s ethical task, it is further argued, is to participate with the Spirit in the construction of signs of this new reality in Christ in this world through her actions marked by faith, hope and love.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.121
GPT teacher head0.320
Teacher spread0.199 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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