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Record W3011537477 · doi:10.1111/hith.12151

LANDSCAPE IN ITS PLACE: THE IMAGINATION OF KASHMIR IN SANSKRIT AND BEYOND

2020· article· en· W3011537477 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory and Theory · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSanskritRealmHistoryLiteratureKashmiriIdentity (music)PoetryPoliticsRhetorical questionAestheticsSociologyPhilosophyArtArchaeologyLawPolitical science

Abstract

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ABSTRACT Around the turn of the first millennium, new and experimental types of Sanskrit literature flourished in Kashmir. Poets like Bilhaṇa (eleventh century ce ) and Maṅkha (first half of the twelfth century ce ) embedded their works in the lived experience of medieval Kashmir, describing their home and family against the backdrop of the valley's mountains and cities. This regional self‐awareness reached a peak in the twelfth‐century poetic description of Kashmir, its kings, and its politics, the Rājataraṅgiṇī ( River of Kings ) written by Kalhaṇa. Kashmiri Sanskrit literature delighted in descriptions of the valley, yet this use of place and space has been until now little theorized. How is this sense of place constructed? What can the imagination of place in Kashmiri Sanskrit texts tell us about how the authors saw themselves in the world? This essay looks at these questions through a critical evaluation of Shonaleeka Kaul's monograph, The Making of Early Kashmir: Landscape and Identity in the Rajataraṅgiṇī . Kaul attempts to demarcate a specific Indic identity for Kashmir. Through a reading of the Rājataraṅgiṇī she posits a regionally coherent Kashmiriness that is nevertheless integrated into the wider Sanskrit cultural realm of the subcontinent. This essay both nuances and questions Kaul's broad claims while urging a careful reevaluation of Kalhaṇa's Rājataraṅginī and other literary representations of Kashmir's landscape. Here I argue that the descriptions of landscape must be contextualized within the broader rhetorical strategies of the text itself, and question Kaul's underlying claim of a Sanskrit identity that speaks itself through Kalhaṇa. By doing so I hope to highlight both the historical embeddedness and agency of Kashmiri poets in the eleventh and twelfth centuries.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.114

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.239
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it