Bibliographic record
Abstract
The Biblical story that most extensively explores the character of Miriam is also the one least visible in Jewish ritual life. Chapter 12 of the Book of Numbers tells the story of Miriam speaking with Aaron against their brother Moses. Two alternate versions are offered for the content of their conversation, alerting the reader to a redaction or splicing of different sources. In one, Miriam and Aaron are talking about a “Cushite woman” Moses married; in the other, they complain that they, too, deserve the right to speak directly to God. While what made their conversation so offensive to God is up for Midrashic and scholarly debate, what is clear to commentators is that Miriam is punished for her behavior. After receiving a scolding from God, her skin is turned mztoraat, leprous “as snow.” In a neat show of spiritual delegation, Aaron appeals to Moses on her behalf, and Moses prays to God to heal her with the brief and famous words El na refana la, “please, God, heal her now.” God orders Miriam to go outside the camp for seven days and the people wait for her to be healed before journeying on toward the Promised Land.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".