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Record W7014126720

Occupied City: New Orleans Under the Federals 1862–1865

2016· article· en· W7014126720 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarGovernment (linguistics)BoomLegendAdversaryFellQuarter (Canadian coin)Spring (device)Falling (accident)Cabinet (room)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.206
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

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