Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.012 |
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; both teacher heads agree on what is shown here.
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".