Food paths, architecture and urban form. A case study
Bibliographic record
Abstract
Architectural scholars have studied the origins, growth, and development of New World settlements and their works document aspects such as land division, infrastructure, construction materials and building techniques. Often overlooked, however, are the physical effects that everyday food-related activities had in shaping these places.This thesis explores the relationships that linked subsistence to the architecture of the cold-climate settlement of Montreal in seventeenth and eighteenth century New France. It investigates food production cycles and transformation processes, and seeks to reconstruct the spatial-temporal chains through which food made its way from field to table to wastes in a pre-industrial urban context. It does so, through introducing the concept of food paths. The correlation between food trajectories, the form of the settlement and its social structure are discussed through an investigation of areas dedicated to the production of cereals, meats and produce, their processing, consumption, storage and discharge. Methodologically, the scarcity of the relevant physical evidence, the fact that the interaction between food paths and architecture deals with several unknowns related to the timeframe, as well as the very perishable nature of food and the transient character of its trajectories pose major challenges that require an inter-disciplinary approach towards reconstructing related processes. Hence, this work seeks evidence from primary sources that include both iconographical data and manuscripts. Maps, travelersř notes, notariesř acts and archaeological data referring to landscape, urban form, architecture and artefacts also find their place in this study, in complementary roles.Among this dissertationřs original contributions is its interpretation of architecture and the development of a human settlement, by adding a new and complementary layer to morphological analysis. By examining and differentiating food paths, this work also creates a framework for the study of food and architecture that can be applied to cases across both time and space. Finally, it also contributes to understanding space beyond the paradigm of form and function and considers architecture as part of daily life processes.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 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".