Bibliographic record
Abstract
ABSTRACT This article offers a reading of an early eighteenth‐century Punjabi text—Gur Sobha or “The Splendor of the Guru”—as a form of historical representation, suggesting reasons for the importance of the representation of the past as history within Sikh discursive contexts. The text in question provides an account of the life, death, and teachings of the last of the ten living Sikh Gurus or teachers, Guru Gobind Singh. The article argues that the construction of history in this text is linked to the transition of the Sikh community at the death of the last living Guru whereby authority was invested in the canonical text (granth) and community (panth). As such a particular rationale for history was produced within Sikh religious thought and intellectual production around the discursive construction of the community in relation to the past and as a continuing presence. As such, the text provides an alternative to modern European forms of historical representation, while sharing some features of the “historical” as defined in that context. The essay relates this phenomenon to a broader exploration of history in South Asian contexts, to notions of historicality that are plural, and to issues particular to the intersection of history and religion. Later texts, through the middle of the nineteenth century, are briefly considered, to provide a sense of the significance of Gur Sobha within a broader, historically and religiously constituted Sikh imagination of the past.
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 | 0.001 | 0.001 |
| 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 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".