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.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".