Aus dem schwäbischen Pfarrhaus nach Amerika: Reiseschilderungen (1860): Louise Weil’s America as Experience and Fiction
Bibliographic record
Abstract
In her autobiographical travelogue, Aus dem schwäbischen Pfarrhaus nach Amerika: Reiseschilderungen(“From the Swabian Parsonage to America: Travel Descriptions,” 1860), Louise Weil recounts her experiences of living, teaching, and traveling in the United States for nearly five years, beginning in 1854. Responding to the flood of German immigration to America in 1852-54, Weil’s declared aim is to rectify idyllic images of America put forth to would-be immigrants by presenting a realistic assessment of American life and institutions.Far from idealizing the United States, Weil condemns slavery and capitalist greed, two phenomena that exemplify America’s failure to live up to its founding ideals of equality and freedom.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".