A Morphological Analysis of Neighborhood Structure—Toles and the Ritual Artifacts of the Kathmandu Valley Towns—The Case of Thimi
Bibliographic record
Abstract
The traditional towns of the Kathmandu Valley are ingrained with varying cultural forms of different historical periods. But the paucity of documented literature and the evident difficulties conducting archaeological work on the existing settlements leave significant gaps in the knowledge of ancient and medieval towns of the Valley. This paper, through the morphological analysis of neighborhood units, known as toles, and their ritual artifacts, of one of the Valley towns—Thimi—attempts to discover the different historical layers of the settlement. In particular, the study finds that the territorial structure of the tole and its ritual artifacts such as the shrine of Ganesa, which is the symbol of a neighborhood locality, and the crossroad spirit, known as chwasa show a regular pattern in their location within the neighborhood quarter, and their distribution in the settlement. They are also found to be closely related to the settlement structure as defined by the neighborhood blocks and the street patterns. Following the morphological analysis, the study then reconstructs four historical phases, and suggests that the development of the town was regulated by the royal court. Further, through the case study of the three neighborhood units, the paper shows that totes constituted basic urban units—a transition level to the town settlement that differed from the lower level structure of the clan settlement unit.
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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 | 0.000 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".