Building Construction in the Architecture Degree: A Comparison of Curriculums in Spain
Bibliographic record
Abstract
The Architecture Degree in Spain is regulated by Order EDU 2075/2010. This Order confers Architecture Schools in Spain freedom when organising their study programmes because it only indicates a minimum number of credits. This work aims to compare the study programmes of 33 Architecture Schools in Spain because very few works have addressed such programmes. Firstly, the relevance of each module was analysed by identifying the knowledge areas to which more importance is attached. In this case, the Design and Technical modules appeared with teaching loadings of more than 50% and 25%, respectively, compared to all the degrees, and differences of more than 45% were detected. In a second phase, the analysis centred on Building Construction courses (core and optional), their number of ECTS and course contents. This revealed that a series of disciplines is taught in practically all such schools in Spain, while others are taught less frequently and only in some Architecture Schools. Relevant differences (up to 75%) were found in the number of ECTS appointed to the Building Construction area among the different schools. On the one hand, this comparison allows the training structure of the Architecture Degree in Spain and any existing differences among centres in the same country to be known. It also demonstrates the importance of Building Construction courses in Spanish architects’ technical training. On the other hand, this work allows a framework to be defined to establish future analyses by comparing this organisation to that in other countries.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".