Putting Port Royal on the Map: Jean de Labat's Early-18th-Century Cartographic Construction of Port Royal
Bibliographic record
Abstract
Abstract: Les cartes géographiques sont autant des images de fantaisies impériales que des sources de renseignements géographiques pratiques. Le travail de Jean de Labat, un ingénieur militaire français à Port-Royal, offre un cas d'espèce des expériences cartographiques impériales dans le nord-est de l'Amérique du Nord. Une lecture critique élargie de deux de ses cartes révèle que les réalités sur le terrain se mêlaient aux fantaisies impériales dans la construction d'une version de la vie à Port-Royal qui profitait à Labat et à d'autres fonctionnaires français. C'est pour ces raisons que le travail de Labat fut publié plus tard dans l'édition de 1727 des Cartes marines . Abstract: Maps are as much images of imperial imaginings as they are sources of practical geographic information. The work of Jean de Labat, a French military engineer at Port Royal, offers a case study of cartographic experimentation with empire in northeastern North America. An expanded critical cartographic reading of two of his maps reveals that on-the-ground realities mingled with imperial imaginings to construct a version of life at Port Royal that benefitted Labat and other French officials. It was for these reasons that Labat's work was later published in the 1727 edition of the Cartes marines .
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".