Misinterpretations in English-Kimuthambi Church Sermons
Bibliographic record
Abstract
Interpretation is a complex task for it involves the rendering of an oral message from one language to another simultaneously. This paper looks at misinterpretations in English - Kimuthambi church sermons in Muthambi Division, Maara District - Kenya. Kimuthambi is a Bantu language spoken in Kenya. The paper lists misinterpretations in English - Kimuthambi church sermons, identifies words and phrasal categories frequently misinterpreted in English - Kimuthambi church sermons and then provides some explanations to the misinterpretations. The paper establishes that there are misinterpretations in English - Kimuthambi church sermons. It presents the findings which show that that verbs and verb phrases are the most frequently misinterpreted categories followed by the nouns and noun phrases. The findings in this paper contribute to the scholarly literature in interpretation and translation which traverses different levels of language study like translation, discourse analysis, semantics and pragmatics.
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".