A Pesca do Bacalhau e a Estrutura Urbana de Vila do Conde (1936-1976)
Bibliographic record
Abstract
This dissertation examines the impact of cod fishing on the urban structure of Vila do Conde between 1936 and 1976, through an approach that integrates documentary, cartographic, and statistical analysis. The redrawing of historical maps, together with the integration of statistical data, made it possible to highlight the transformations in the urban fabric of Vila do Conde and to demonstrate that the development of the area was, in part, shaped by the logistical and functional demands of fishing activity. This approach also allowed for the spatial representation of fishing pressure on the settlement. The idea of an architecture shaped by cod fishing is proposed as an interpretive framework that goes beyond the material form of buildings, encompassing practices, processes, and adaptations that emerge from the interaction between the urban settlement and the sea. The study focuses on the key agents of cod fishing-the fishermen and their families-and cross-references this data with the fishing campaigns of the period. This allows the identification of participation patterns and socioeconomic disparities and contributes to understanding Vila do Conde's strategic role in the international fishing network, particularly in the Newfoundland and Greenland banks. The dissertation argues that cod fishing acted as a transformative force in the urban landscape, with economic and social impacts that are still evident today. It contributes to broader reflection on the connections between economic activity and spatial organization, demonstrating the value of a multidisciplinary approach to understanding urban transformation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".