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Record W4234969503 · doi:10.25071/2561-5467.363

The Attacks on U. S. Shipping that Precipitated American Entry into World War I

2007· article· en· W4234969503 on OpenAlexvenueno aff
Rodney Carlisle

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtCabinet (room)Political science

Abstract

fetched live from OpenAlex

Entre 3 février 1917 et 4 avril 1917, dix navires marchands des États- Unis ont été coulés, neuf d'entre eux par sous-marin allemand. Ces pertes ont constitué le casus belli pour l'entrée des États-Unis en la Première Guerre Mondiale. La perte de trois vaisseaux en particulier a semblé convaincre Wilson et son cabinet que l'Allemagne avait déclaré la guerre contre les États-Unis; néanmoins, quand il a fait sa présentation au congrès, il a interprété les causes de la guerre en termes beaucoup plus larges. Les détails des pertes de navires et les questions du droit international à ce sujet même, autant que la réaction de Wilson, de son cabinet et du congrès aux événements, sont tous détaillés ici.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.221
Teacher spread0.202 · 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.

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

Citations13
Published2007
Admission routes1
Has abstractyes

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