Bibliographic record
Abstract
In 2015, the wreck of the CityPlace schooner was discovered in downtown Toronto. The remains were excavated by Archaeological Services, Inc. and relocated to the Fort York National Historic Site, also in downtown Toronto. In the spring of 2018, students from Texas A&M University’s anthropology department traveled to Fort York to document the wreck. The data collected during the field season served as the basis for a conjectural reconstruction of the vessel. An analysis of the remains shows that the wreck is that of a merchant schooner built in the late 1820s or the 1830s. It was initially constructed with a daggerboard or a centerboard and was modified during its career to remove the same. At the end of the vessel’s working life, it was abandoned near the shoreline and used as fill during an expansion of Toronto’s growing waterfront. This thesis focuses on the construction of the CityPlace schooner. \nIt examines the historical context for the vessel, including the impact of the Great Lakes’ economy and transportation-related infrastructure on the region’s shipbuilding industry during the 19th century. The 2015 excavation and 2018 hull documentation are also described. The study provides a detailed description of the hull remains observed during the 2018 field season and presents a hypothetical reconstruction of the vessel derived from an analysis of the remains and the construction of similar contemporary vessels. The CityPlace schooner wreck provides valuable insights into shipbuilding practices on the Great Lakes during the early 19th century and the effects that the development of the region had on shipbuilding during this time.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".