Bibliographic record
Abstract
This article posits that the earliest map to have ever used the name Toronto as a place is uncovered. Previously unnoticed, the name “Tarontos Lac,” for today’s Lake Simcoe, is on a 1678 map by Jean-Baptiste-Louis Franquelin. His map, “Carte pour servir a l’eclaircissement du Papier Terrier de la Nouvelle France,” is now recognized as Toronto’s cartographic birth certificate. The article describes the map, discusses how the discovery came about and why the name may have gone unnoticed until now. This cartographic study is set in the history of the exploration of the Great Lakes region and the Mississippi River. Three other unsigned and undated period maps, often claimed as “Toronto” firsts, are also examined. These claims are dismissed, as revised attributions show them to have been by different cartographers and dated later than originally thought, making Franquelin’s map the oldest. The cartographic genealogy of the name Toronto is traced back through three and a half centuries to its initial appearance on Franquelin’s map.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.005 |
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".