Bibliographic record
Abstract
Sikhism traces its beginnings to Guru Nanak, who was born in 1469 and died in 1538 or 1539. With the life of Guru Nanak the account of the Sikh faith begins, all Sikhs acknowledging him as their founder. Sikhism has long been a little-understood religion and until recently they resided almost exclusively in northwest India. Today the total number of Sikhs is approximately twenty million worldwide. About a million live outside India, constituting a significant minority in the United Kingdom, Canada, and the United States. Many of them are highly visible, particularly the men, who wear beards and turbans, and they naturally attract attention in their new countries of domicile. This third edition of Historical Dictionary of Sikhism covers its history through a chronology, an introductory essay, and an extensive bibliography. The dictionary section has over 1000 cross-referenced entries on key persons, organizations, the principles, precepts and practices of the religion as well as the history, culture and social arrangements. This book is an excellent access point for students, researchers, and anyone wanting to know more about Sikhism.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.011 |
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".