Ancient Near Eastern gods Enki and Ea: diachronical analysis of texts and images from the earliest sources to the Neo-Sumerian period
Bibliographic record
Abstract
The finds at Eridu, and at a considerably later period at Lagash, show that in these places the people dedicated to Enki his portion of their goods, not in the form of grain or meat, the basic form of wealth among farming communities, but in fish, the product of river, lagoon and marsh." 15Cf. the treatment of Old-Akkadian glyptic art in 4.4. of the current study.16 Cf.5.2.2. of the current study.In Old-Sumerian sources, the title of the "first city" seems to be attested to Nippur of Enlil. 17Cf.H. D. Galter, Ea/Enki, p. 287. 18S. Lloyd, Iraq 36 (1974), p. 137. 19M. Green, Eridu, p. 151: In later literary texts, Enki is associated more intimately with his city and its powers than any other Sumerian god with its dwelling place.Cf. p. 153: Green concludes that Eridu's position as a "locus of magical powers" might well have been established already during the Ubaid period and could have been the reason for continued maintenance of the shrine at Eridu into the Neo-Babylonian period. 20
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".