Bibliographic record
Abstract
Indo-Judaic studies, which range from historical to anthropological treatises, have developed at a rapid pace since the 1990s. Linguistic evidence confirms the possibility of ancient Jewish communities and early commercial connections between India and the Holy Land. The articles brought on King Solomon’s ships and mentioned in the biblical book of Kings, such as kofim (apes) tukim (peacocks), and almag (sandalwood = valgum), were of Indian origin. Travelers’ tales in the Talmud mention trade with India, including specific commodities, such as Indian ginger and iron. From the ninth century ce, Jewish merchants known as Radanites traded between East and West, from the Middle East to South Asia and back. Ancient Jewish texts, dating from the eleventh to the thirteenth centuries, discovered in the Cairo Genizah, include documents describing the trade carried out between Arab-speaking Jews and Hindu partners in spices, pharmaceuticals, textiles, metals, gold, silver, and silks. The Jews of India consisted of three distinct communities: the Bene Israel, the Cochin Jews, and the “Baghdadis.” Their ranks were temporarily swelled before and during World War II by European Jews who fled from Nazi Europe. Except for a brief period in certain parts of India under Portuguese rule, the Jews never encountered anti-Semitism there. In recent years, different tribal peoples from northeastern India, today known as Bnei Menashe, claim that they are “lost” Israelites and are migrating to Israel. In addition, other Indian groups are in the process of Judaizing. At their peak in 1947, prior to Indian independence, the total Jewish population of India numbered 28,000. To date, some 34,000 Jews remain in India. Others are scattered in the United States, Canada, Australia, and Great Britain, and more than approximately 80,000 Jews of Indian descent live in Israel.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.024 |
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".