Bibliographic record
Abstract
The first Americans to identify as artistic bohemians gathered at a Manhattan beer cellar in the 1850s. They counted Walt Whitman as one of their number, and considered Edgar Allan Poe a bohemian avant la letter. But New York’s first bohemians were not displaced Parisians living in a section of the Latin Quarter magically transplanted to the United States. Rather, bohemianism in the United States has roots in Charleston, South Carolina, the hometown of both Ada Clare (the “Queen of Bohemia” and host of a weekly literary salon) and Edward Howland (the financial backer for the bohemians’ literary weekly, The New York Saturday Press), as well as in the setting of Poe’s “The Gold-Bug” (1843), which influenced the first literary representation of American bohemianism in Fitz-James O’Brien’s short story “The Bohemian” (1855). Charleston’s cotton plantations provided Howland and Clare with the money to fund the institutions that were essential for bohemianism to flourish: the periodical and the salon. With Poe at the imaginative center of American bohemia and Clare and Howland at its financial center, U.S. bohemianism emerges as a complex network of people, money, and ideas circulating between the North and the South as well as New York and Paris.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".