Bibliographic record
Abstract
While group speech in biblical narrative is generally expressed as a single voice, in certain cases the plain sense of the text is improved by discerning a number of different voices at work. While these voices are unmarked, they are clearly sensed in the cases discussed here, and their presence adds significantly to the dramatic force of the text. In addition to the well known case of Saul and the young women at the well in 2 Sam 9:11-13, there are a number of instances in the Joseph story in Genesis 37 and 42 in which the brothers' speeches reflect multiple voices, providing a fuller picture of their disagreements. In Jonah 1:8 the sailors interrogate Jonah in what appears to be a cacophony of voices, and David's return to Jerusalem in 1 Sam 19 is punctuated by verbal disagreements among the Israelites, most noticeably in 2 Sam 19:10-11.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".