From <i>L'État</i>, <i>c'est moi</i> to <i>L'État</i>, <i>c'est l'État</i>: Mapping in Early Modern France
Bibliographic record
Abstract
Using the printed works of two French cartographers, Alexis-Hubert Jaillot and Guillaume Delisle, I investigate how the changing interests of the government directed not only the process of map-making but the rhetoric evident in printed maps and atlases. Jaillot, a commercial map publisher flourishing during the second half of the seventeenth century, produced maps that participated in the fabrication of the image of Louis XIV. Maps served this “cult of image” and contributed to a multimedia show to glorify the reign of the Sun King and to support his personal state – l’état, c’est moi. In the eighteenth century, while a rhetoric of image was still present on printed maps, the “cult of image” was dead and mapping appealed to the rise of the impersonal or bureaucratized state – l’état, c’est l’état. Delisle produced maps as instruments of statecraft that aided the state in furthering its domestic and international interests. In particular, printed maps of the Americas served the government's need to acquire greater territorial control. While images were still powerful on New World maps, the French boundary claims, egregious to some, if uncontested could be produced time and again as a true representation and legitimization of territorial control.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".