From Text to Model: Translating the Estatutos da Província de Santa Maria da Arrábida
Bibliographic record
Abstract
Abstract A primary text for understanding the architecture of Franciscan convents in Portugal is the 17th century Estatutos da Província de Santa Maria da Arrábida that outlines rules to the construction of convents belonging to the Arrábida province. Beyond articulating the conduct of daily life within the convents, the rules also describe the required spaces of the building accompanied by maximum dimensions to maintain consistent austerity across the order. The research presented in this paper discusses ongoing approaches to visualize these rules from an architectural lens in order to better understand the contents of the document both in-themselves and to how they manifest themselves in specific instances of convents across the province. One approach of the study combines text analysis and visualization through digital modelling and 3D printing. By first visualizing the spaces and relations of the ideal convent as described through a set of volumetric digital models, a comparison was later made between the dimensions and arrangement of these ideals to specific instances found in convents of the same time period, region and Franciscan reform. Another approach of the study uses photographic and photogrammetric surveys of details and spaces found across four convents of the Arrábida province in order to compare and visualize the scale and configuration of common elements – both described by the text and not. Overall, the paper also aims to demonstrate how new tools in digital heritage can assist in the study and dissemination of the otherwise invisible dimensions of heritage buildings.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".