The ethics of absolute relativity: An eschatological ontological model for interpreting the Sermon on the Mount
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.054 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".