Bibliographic record
Abstract
This series, Linguistic Biblical Studies, is dedicated to the development and promotion of linguistically informed study of the Bible in its original languages.Biblical studies has greatly benefited from modern theoretical and applied linguistics, but stands poised to benefit from further integration of the two fields of study.Most linguistics has studied contemporary languages, and attempts to apply linguistic methods to study of ancient languages requires systematic re-assessment of their approaches.This series is designed to address such challenges, by providing a venue for linguistically based analysis of the languages of the Bible.As a result, monograph-length studies and collections of essays in the major areas of linguistics, such as syntax, semantics, pragmatics, discourse analysis and text linguistics, corpus linguistics, cognitive linguistics, comparative linguistics, and the like, will be encouraged, and any theoretical linguistic approach will be considered, both formal and functional.Primary consideration is given to the Greek of the New and Old Testaments and of other relevant ancient authors, but studies in Hebrew, Coptic, and other related languages will be entertained as appropriate.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.626 | 0.298 |
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".