Geospatial Data on Parade: The Results and Implications of the GIS Analysis of Remote Sensing and Archaeological Excavation Data at Fort York’s Central Parade Ground
Bibliographic record
Abstract
This article presents a case study on the application of geographical information systems (GIS) in the context of military archaeology at the Fort York National Historic Site (AjGu-26) in Toronto, Ontario. By employing GIS to amalgamate data from historic mapping, ground penetrating radar, LiDAR, and 30 years of archaeological investigation, the authors reconstruct the historic landscape at the central parade ground of this national historic site. In doing so, they identify the remains of an early 19th-century vice-regal building that served as the official residence of the lieutenant governors of Upper Canada before the American forces burned it down in 1813—an important event that later provided the justification for the British destruction of the White House. With the successful application of GIS to amalgamate multiple lines of evidence, the article serves as another case for the broader acceptance of digital data technologies into the standard methodological toolkits of archaeologists.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".