Bibliographic record
Abstract
The Baal Cycle is a work of narrative poetry written in the Ugaritic language and cuneiform script during the Late Bronze Age. The story features a West Semitic pantheon and centres around the character Baal, a young storm-god who vanquishes the sea-god Yamm, celebrates his ascent to kingship by having a palace built, and sojourns in the realm of the dead before rising again. All of this he accomplishes with the help of a colourful host of other deities, particularly the fearsome goddess Anat. The Baal Cycle stretches across six fragmentary clay tablets. Although much of the text can be plausibly reconstructed on the basis of parallel passages, some of the work is simply lost. The tablets were discovered in the 1930s at the site of Ras Shamra (in modern Syria) in what seems to have been a library or archive of a temple official. The centrality of the storm-god in the Baal Cycle reflects the importance of this deity in the city-state of Ugarit, the acropolis of which featured an impressive temple devoted to him. The battle between a warrior deity and a sea monster (Chaoskampf) appears across ancient West Asian literary traditions (e.g., in the Babylonian Enuma Elish and in the Hebrew Bible), and it is fitting that this detailed elaboration on the motif should come from Ugarit, an urban centre dependent upon maritime trade for its wealth. Although the text makes minimal reference to humans, it is nevertheless infused with ecological, political, and social realities of the (human) inhabitants of Ugarit.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.013 |
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".