Architecture and Identity: The Occupation, Use, and Reuse of Mughal
Bibliographic record
Abstract
Life, individual and collective, exists in reference to what came before; my research into the life histories of places explores the cultural threads which tie us to places and which allow us to make personal and collective connections between the past and the present. Understanding these life histories helps us understand the value and power historic places have in the world today. This thesis focuses on Mughal caravanserais from northwestern Pakistan, examining how they were initially intended to be used during the Mughal rule of South Asia and how they were reused in the periods that followed (Sikh, Afghani, British, and Pakistani). Caravanserais are walled arcaded buildings where travelers could stop briefly. After the Mughal Empire declined, caravanserais were reused by local people and/or taken over by subsequent governing bodies. Surviving structures are still used today, although their original appearance and functions have been altered to serve new purposes. My research is part of the Caravanserai Networks Project, directed by Dr. Heather Miller, University of Toronto. I develop my survey method through comparative study of two caravanserais, Gor Khuttree and Pakka Khanpur. Using information from architectural survey, historic documents, and photographs, I create three-dimensional architectural models of Gor Khuttree’s occupations. I use access and planning analysis to characterize the use and alteration of the sites ’ architecture. Conceptually, I develop a tripartite formation of place: formed, in practice, and in memory. As a multifaceted place, I consider Gor Khuttree’s life history; the occupations, identities, and memories associated with the site through time. iii The City of Peshawar, central to this research, was at the time of writing in Pakistan’s North
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".