Interfacing the Hebrew Bible: past, present and future applications for the BHSA
Bibliographic record
Abstract
The open and constantly evolving BHSA database text of the Hebrew Bible (Biblia Hebraica Stuttgartensia Amstelodamensis) from the Eep Talstra Centre for Bible and Computer has amazing potential for past, present and future projects in Biblical Hebrew linguistics, language learning and interpretation. The BHSA was used 2004-2009 in the Role Lexical Module http://lex.qwirx.com/lex/clause.jsp in order to provide an interface for bidirectional mapping between morpho-syntax and semantics for linguists working within the Role and Reference Grammar model. Since then the BHSA har been used for educational purposes in the corpus-driven learning environment Bible Online Learner offering a persuasive interface for enquiry and practice in and with the BHSA text. Based on these applications for linguistic research and persuasive language learning, we now have a better idea of how the next generation of interfaces for the Hebrew Bible should be designed. We may even envision the direction to take for the next 5 years from now. For translation and education, we will need glosses for many languages, scaffolding with interactive archaeological, textual, grammatical and interpretive data, auralreading and much more.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".