MétaCan
Menu
Back to cohort
Record W6994184578

Brazil 3467

2013· other· en· W6994184578 on OpenAlexaboutno aff

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2013
Typeother
Languageen
FieldEnvironmental Science
TopicUrban Arborization and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsShipbuildingPort (circuit theory)BallastShipyardHullGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The “Brazil” was built in 1890 by the Union Dry Dock Co., of Buffalo, New York. The steel propeller vessel experienced many name and ownership changes. She was originally built for M.M. Drake, et. al., of Buffalo, New York. In 1896, ownership transferred to John Kelderhouse, et. al., also of Buffalo. He owned her until 1904 when she was sold to the Wisconsin Transportation Co., of Sheboygan, Wisconsin. Reconstruction of the hull took place in 1907and they maintained ownership until 1913. The North American Steamship Co. (Roy A. Williams, Mgr.), of Cleveland, Ohio, purchased her next. They possessed the vessel until 1916 when she was bought by Boland & Cornelius, of Buffalo, NY. Within that same year, she was sold again to Lake Transportation Co. (James Playfair), of Cleveland, OH; they maintained ownership until 1919 when she was sold again to Great Lakes Transportation Co., Ltd. (James Playfair, Mgr.), of Midland, Ontario, Canada. Subsequently, the vessel was renamed “Glenbrae” and listed as Canadian vessel 138217. In 1929, the vessel was sold to Marine Dredge & Gravel Co., of Chicago, Illinois, assumed her original name “Brazil” and original registration number, and converted to a sand dredge by Toledo Shipbuilding Co.. Lastly, ownership transferred again in 1931 to the Illinois Ship & Dredge Co., of Chicago, IL. In 1943, the vessel was abandoned and scrapped.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.509
Threshold uncertainty score0.700

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.5090.322

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 head0.005
GPT teacher head0.173
Teacher spread0.168 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Same venueOhioLink ETD Center (Ohio Library and Information Network)Same topicUrban Arborization and Environmental StudiesFrench-language works237,207