Sound towers : evoking the musical dimension of GaudÃ
Bibliographic record
Abstract
Antoni Gaudi was the architect of the Sagrada Familia from 1883 to 1926. Over this period of time he prepared the overall design and supervised the construction of the Nativity facade. One of Gaudi's main design objectives was to include tubular bells in the tall slender towers. It has been said that through his sound studies for these bells, Gaudi developed his musical sentiments most fully. Through the sound of bells, accompanied by song, he imagined a festive environment around the temple. These considerations might be seen as reflecting the overall spirit of the time, as Catalonia was in effect experiencing a cultural rebirth known as the Renaixenca . Originating with the call of the poets, this time of exuberant growth for Catalonia was one that was built upon the rebirth of language. As a result, language through poetry continued to be celebrated throughout the century, particularly through annual poetic contests called the Jocs Florals. This paper studies the facade of the Nativity as a expression of this culturally exuberant time by exploring how the Jocs Florals, and poetry in general, may have played a role in shaping its form and sound. The study also acknowledges the fact that Gaudi's inspiration for his design was derived from symbolism associated with the Catholic liturgy. The result is architecture that might be described as a union of religious and cultural symbolism, yet ultimately its festive expression is a poetic one. As such, the Sagrada Familia might be described as a celebration that is a call to gathering.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".