Occupied City: New Orleans Under the Federals 1862–1865
Bibliographic record
Abstract
New Orleans is the largest American city ever occupied by enemy forces for an extended period of time. Falling to an amphibious Federal force in the spring of 1862, the city was threatened with the possibility of Confederate recapture even as late as 1864. How this tension affected the lives of both civilians and soldiers during the occupation is here examined. Gerald M. Capers finds that the occupation policies of General Benjamin F. Butler and General Nathaniel P. Banks were successful and that Butler’s harsh policies were by no means as vicious as legend would have it. Banks at first reversed Butler’s harsh policies, but was gradually compelled to become less lenient. Banks did succeed in establishing a civil government under Lincoln’s orders, but Congress refused to recognize the civil government and imposed a reconstruction government at war’s end. Life for the average resident of New Orleans, Capers states, was much better during the occupation than it was for Southerners in areas still in Confederate control. Relative economic decline had begun in the 1850’s but New Orleans even enjoyed a war boom during the last two years. And although America’s only brief experience as an occupation force at the time had been in Vera Cruz during 1846, Butler and Banks performed their duties well. Gerald M. Capers, head of the Department of History at Newcomb College, Tulane University, is the author of several books, among them Stephen A. Douglas: Defender of the Union.
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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 | 0.009 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".