Comparing Drawings of Territory: Alagoas in the Cartography of Marcgraf, in the Past and in the Present
Bibliographic record
Abstract
Historical cartography has played an important role in studies of urban regions of colonial Brazil and is of great assistance in helping us understand the way settlements were established during this period. Part of north-eastern Brazil has inherited historical features from the Dutch occupation, which lasted from 1630 to 1654. Today, there is an abundance of records available, which include high-quality maps where information is represented with a great degree of accuracy. In light of this, this study investigates the map Brasilia qua parte paret Belgis (the part of Brazil that belongs to the united Netherlands), designed by the German cartographer Georg Marcgraf in 1643. In conducting a more detailed analysis, our focus is on the section of the map that refers to the captaincy of Pernambuco, which was the main area of Dutch occupation and, in particular, the south of the territory that is now the present-day state of Alagoas. By investigating a wide range of information, including the digital handling of this detailed feature of the map, this study aimed to evaluate its documentary attributes while, at the same time, analysing certain aspects of the occupation of Alagoas with the aid of virtual tools.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".