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Record W2413557645

Thunder Bay National Marine Sanctuary (TBNMS) Shipwreck: Monohansett

2015· article· en· W2413557645 on OpenAlexaboutno aff
Tim Parsell

Bibliographic record

VenueScholarWorks - GVSU (Grand Valley State University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsThunderBayGeographyOceanographyFisheryArchaeologyGeologyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

The following on the shipwreck Monohansett is from the NOAA website for Thunder Bay Sanctuary. GPS Location: N45° 01.996’ W83° 11.988’ Depth: 18 Feet Wreck Length: 160 Feet Beam: 30 Feet Gross Tonnage: 572 Cargo: Coal Launched: 1872 by Linn and Craig at Gibraltar, Michigan Wrecked: November 23, 1907 Description: Built as the double-decked bulk freighter Ira H. Owen, the ship was rechristened Monohansett in 1882. Ten years later, it was rebuilt as a single-decked lumber carrier. On November 23, 1907, the ship burned to the water's edge at Thunder Bay Island. Most of the crew lost their personal belongings and some suffered minor burns, but there was no loss of life because the ship was near the island’s Life Saving Station. Today, the Monohansett’s wreck lies in three sections. The stern portion has hull features, propeller, and shaft all in place, and the boiler is nearby.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.464
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.4640.192

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 head0.043
GPT teacher head0.214
Teacher spread0.172 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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