Social and Political Factors in Post-Colonial Indian Archaeology: The Case of Sanghol, Punjab
Bibliographic record
Abstract
In this paper, I present the case of Sanghol, Punjab, in Indian archaeology to highlight the influence of social and political factors on the interpretation of archaeological data and the preservation of cultural heritage. Using a geographic approach, I show how geopolitical tensions and the desire for internal political stability influenced archaeological practices in post-colonial India. In the aftermath of Prime Minister Indira Gandhi’s assassination in 1984, local archaeological investigations in Sanghol, located 200 kilometres from the sensitive Pakistan-India frontline, piqued the interest of the Archaeological Survey of India, the national department for archaeology and heritage management. The Survey subsequently carried out collaborative field studies in Sanghol between 1986 and 1990, reflecting the changing relationship between the local community and the national government at a time of intense political uncertainty. I argue that there is greater competition and collaboration between knowledge producers in Indian archaeology than has been accepted. This, in turn, impacts our understanding of the practice of national archaeology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.028 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".