The Grid and Modular Measures in The Town Planning of Mohenjodaro and Kathmandu Valley
Bibliographic record
Abstract
This paper studies the street and block plans of Mohenjodaro and Sirkap of Pakistan, and Thimi of Kathmandu Valley. Mohenjodaro was a reknowned city of Indus civilization, while Sirkap of Taxila, was an important cultural center in later half of first millennium BC. While both of the cities are archaeological remains, Thimi is still a living town. The three cities, apparently separated by enormous time span and geographic space, exhibit certain features that is striking to draw the attention of archaeologists and urban historians. This study finds that all the three settlements employ exactly the same grid dimension in making the division of urban blocks. The standard modules conform to ′danda′ and ′rajju′, which are stated in Arthasastra, the work of Kautilya who lived during the later quarter of 4th century BC. This paper makes a morphological analysis of the revealed plans of Mohenjodaro, Sirkap and Thimi, and demonstrates a relationship in their town plan, the division of quarter blocks and the plot divisions as shown by the built clusters and street boundaries. This is the first direct evidence to link the urban civilization of Indus with the living settlements that continue to exist up to modern times.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".