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Record W7070318237

Red Cloud

2013· other· en· W7070318237 on OpenAlexaboutno aff

Bibliographic record

VenueThinkTech (Texas Tech University) · 2013
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsTSG101LiquationLimitingGloomCircumstantial evidenceBuckle
DOInot available

Abstract

fetched live from OpenAlex

Unlike most latter-day American sailing ships, the main-skysail-yard Red Cloud was not named after a significant stockholder or part owner. Instead, the namesake for this handsome ship was the famous Lakota war chief who had been one of the most formidable opponents of the U.S. Army on the American plains. The ship bore a carved figurehead representing the warrior chieftain, which lamentably cannot be seen in this photograph.
\nRed Cloud began seafaring in the California wheat trade. This photograph, taken in San Francisco, shows the ship apparently drying sails after a fog or early rain. The skysail yard on the main has either been sent down or permanently removed for Red Cloud originally had one. Of interest is the long spanker boom and hoisted gaff. The small gaff at the main is also reminiscent of an earlier style of rigging. Particularly noteworthy was the long poop on Red Cloud—108 feet stretching nearly to the mainmast and almost half the length of the deck. While there were down easters with long quarterdecks, such long poops were more characteristic of earlier packet ships. The poop rail is easily seen marching into the main chains. Red Cloud also manifests an elliptic stern which is also unusual in American wooden sail of this period. Earlier clipper ships used this type of stern and Canadian and English wooden ships almost always used this form; the latter-day large wooden ship typically had a semi-elliptical stern with a handsome transom—frequently carved. Both are attractive and a coin would have to be tossed to determine the advantages of one over the other. Some have reported that the semi-elliptical stern was easier to construct. Perhaps. The reef points in the upper topsail on the mizzen are intriguing, as are the normally absent reef points in the much deeper topgallant sail. Not too many years after Red Cloud struck the waves, riggers routinely divided topgallants for easier management and smaller crews. One can only imagine how deep the main topgallant would be with its yard hoisted. A few years earlier, the topsails of a large full-rigged ship were doubtless of equivalent area to the topgallants of a big 2,000 tonner like Red Cloud.
\nRed Cloud only sailed under the stars and stripes for 5 years. In 1882, a German firm bought Red Cloud and renamed the ship Carl Friedrich. Carl Friedrich stranded in 1893.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.004
GPT teacher head0.193
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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