Bibliographic record
Abstract
This short note argues that the noted difficulties in Neh 8,8a can be resolved by accepting a previously suggested emendation to MT and a renewed examination of a much discussed word solely against the background of two legal episodes that employ the same verbal stem. It is suggested that one could render Neh 8,8a as »They read from the scroll of the Der Beitrag vertritt die These, dass die in Neh 8,8a feststellbaren Schwierigkeiten durch eine Emendation am MT und durch die erneute Betrachtung eines viel diskutierten Wortes behoben werden können. Dies geschieht vor dem Hintergrund von zwei Gesetzestexten, die denselben Verbalstamm verwenden. Es wird vorgeschlagen, man könne Neh 8,8a »Sie lasen aus der Schriftrolle der Tora Gottes, die war (schon) erklärt« lesen. Cette note montre que les difficultés remarquées en Ne 8,8a peuvent être résolues, en acceptant un amendement du TM déjà proposé antérieurement ainsi qu’en examinant à nouveau, sur l’arrière-fond de deux épisodes juridiques qui utilisent la même racine, un mot souvent discuté. Il est ainsi possible de rendre Ne 8,8a par »ils lisaient dans le rouleau de la torah de Dieu, qui avait été (déjà) proclamée«.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".