Bibliographic record
Abstract
Singing in Yiddish about London: 1880-1940 is the story of six Yiddish songs that tell of mainly East End people and places and experiences; these snippets of history give insights into what was happening in London at the time. They tell of poverty and work, of street life and of love. They tell of characters; an old fiddler, a bagel seller, a prostitute. They tell of places, the Pavilion Theatre, Victoria Park, Morgan Street. They sparkle with life, whether deeply moving or comic. This article explores Jewish history through the songs, as well as exploring the history of the songs themselves. The songs were collected in Denmark, Canada, Germany, Liverpool and London. The article describes some of the people who sung them, who collected them and who wrote them. There is a lot unknown about the songs and why they were written, so there is much to conjecture by London Yiddishists and folk collectors. These answers throw more light onto the politics and issues of the day. Today these songs are being performed by Vivi Lachs and Klezmer Klub, a London-based band who are seeking to revive them and imbue in them a sense of their meaning for today.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".