Raj Karega Khalsa! - The Evolution of the Sikh Identity
Bibliographic record
Abstract
Generally, religion has served as a method of creating a unique identity and history for many groups across history. This concept is especially true for the Sikh community, to the point that they have carved their own niche across the different places they inhabit in the world, whether that be their homeland of Panjab or their extensive population in places like Canada or the United Kingdom. However, this expansion and development of their culture did not come without a cost, formed through countless battles, martyrdom, and revolutions. Chardi Kala, a foundational idea in Sikhi that refers to eternal optimism even in terms of adversity, shows why they are prepared to face severest torture and martyrdom willingly, a unique concept created by the religion (Singh 2002). This literature review examines the history and social factors that contributed to the aforementioned concept and others mentioned in Sikh philosophy. It will go through key moments in the Sikh timeline that will help to explain this distinct identity and how it has evolved into the current day. Additionally, it will help to illustrate the way that cultures can thrive even in the face of severe adversity, sometimes through the simple power of hope and trust in one’s faith.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".