Bibliographic record
Abstract
A comparison of Amos with Sumerian City-Lament (SCL) reveals that SCL was likely used as the literary template for Amos’ prophecy. Amos also contains references to the flood, used as a covenant-curse to warn Israel of her treaty violations. This article compares these flood passages, 4.13; 5.8+9; 8.8; 9.5+6, (described by scholars as ‘hymnic’), with SCL, Genesis’ flood account, and Job 9.5–10, a similar flood-like hymn, in order to determine common vocabulary and themes. Analyzing the Amos hymn's vocabulary roots reveals an ancient narrative source. Exploration of the passage's literary connections to Amos in terms of a ‘flood covenant-curse',’, demonstrates why such literature was utilized. This article also discusses a new proposal that Amos’ hymn should be extended to incorporate a fragment at 7.4.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".