Bibliographic record
Abstract
Kashmir has been a fascinating subject for authors and analysts. Volumes have been documented and published about its multi-faceted aspects in varied forms like manuscripts, rare books and images available in a number of institutions, libraries and museums worldwide. The study explores the institutions and libraries worldwide possessing rare books (published before 1920) about Kashmir using online survey method and documents their bibliographical details. The study aims to analyze subject, chronology and country wise collection strength. The study shows that the maximum collection of the rare books is on travelogue 32.48% followed by Shaivism 8.7%. While as the collection on other subjects lies in the range of 2.54%-5.53% with least of 2.54% on Grammar. Literature of 20th century is preserved by maximum of libraries (53.89%) followed by 19th century (44.93%), 18th century (1.08%) and 17th century (0.09%) and none of the library except Cambridge University library possesses a publication of 17th century. The treasure of rare books lies maximum in United States of America (56.7%) followed by Great Britain (35%), Canada(6%), Australia (1.8%) with least in Thailand (0.45%).
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".