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Record W6911776756 · doi:10.5281/zenodo.12574714

The Baal Cycle

2024· article· en· W6911776756 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAssyriaNarrativeMonsterPoetryMonarchyBattleSemitic languagesAcropolisRealm

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.086

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.

Opus teacher head0.036
GPT teacher head0.220
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicAncient Near East HistoryFrench-language works237,207