Bibliographic record
Abstract
This chapter describes the early Jewish settlers in the Midwest. The first one was a German-Jew from Berlin named Ezekiel Solomon who landed at the northern tip of the Lower Peninsula in 1761. A simple marker, erected by the Jewish Historical Society of Michigan, in Michilimackinac State Park, Mackinaw City, says that he survived an Ojibwa massacre at Fort Michilimackinac in 1763, was a fur trader who ran a general store provisioning the British Army, and was one of the founders of Canada's first (Sephardic rite) synagogue, Montreal's Shearith Israel. The chapter also details how during the 1800s and even as late as the 1910s, Jews who kept kosher often had a difficult time during their overland journeys to or through the Midwest. They either had to carry food with them hoping their supplies would last until they reached their destination; subsist on purchased or bartered eggs, milk, nuts, and/or fruits, if they could find them; or eat at “kosher” hotels or boarding houses of which there were woefully few.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".