Գյուղատնտեսական բնակավայրերի համակարգը միջինասորեստանյան ժամանակաշրջանում
Bibliographic record
Abstract
Understanding the Middle Assyrian (approximately the last quarter of the XV century BC - the first half of the X century BC) agricultural system and village organization contributes to a deeper and more systematic understanding of the relationships between rural and urban communities, control mechanisms, and the socio-economic foundations of early state systems. Methods and materials: Through the analysis of archaeological material, administrative texts, and comparative studies, this research examines the interconnected social, political, and economic systems that characterized Middle Assyrian society. The historical-comparative research method was used in the work. The principle of comparison and contrast of this method was applied when studying the sources. Analysis: The methods of formation and development of the rural and agricultural system are revealed and characterized. The integration of rural communities into the administrative structures of the state, while maintaining local autonomy in certain areas, demonstrates a pragmatic approach to management. Results: During the Middle Assyrian period, Assyria witnessed administrative and political innovations, the legal characterization of traditional norms, and the emergence of transformed socio-economic institutions. It was these changes that were to become the most important characteristic of Assyrian civilization in later centuries, as well as the distinctive basis of its society.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".