Underwater Archaeology in Thunder Bay National Marine Sanctuary, Lake Huron—Preliminary Results from a Shipwreck Mapping Survey
Bibliographic record
Abstract
Off northeastern Lower Michigan, the bottom waters of Lake Huron in the Thunder Bay National Marine Sanctuary and Underwater Preserve (TBNMS/UP) contain a vast array of historic shipwrecks representing more than a century of early Great Lakes shipping. During June 2001, in collaboration with the National Oceanic and Atmospheric Administration (NOAA) and the State of Michigan, the Institute for Exploration (IFE) mapped a large portion of “Shipwreck Alley”, which extends throughout the deep-water portion of the Sanctuary and continues farther north. Seventeen shipwrecks, two of which are new discoveries, and many other interesting lakebed features were acoustically imaged and carefully surveyed using a high-frequency side-scan sonar towfish. In addition, a number of submerged sinkholes and lakebed pockmarks were discovered and mapped. These karst features in the limestone bedrock were exposed subaerially from about 10000 to 8000 years ago, when the lake level was substantially lower following the last glacial maximum. The archaeological significance of these sinkholes, the newly discovered shipwrecks, and several other promising sonar targets will be evaluated when IFE returns to TBNMS/UP in 2002. Using a remotely operated vehicle (ROV) and an advanced underwater imaging platform, we will visually survey the most important sites, collect high-definition underwater video, and ground-truth sonar targets. The work will be performed by marine geologists in collaboration with underwater archaeologists and maritime historians. This effort is part of a long-term scientific, educational, and public outreach project in the TBNMS/UP supported by NOAA's National Marine Sanctuary Program and Office of Ocean Exploration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".