Knoll Internacional de México S. A.: The Interiors of the Bacardí Mies van der Rohe Building in Tultitlán
Bibliographic record
Abstract
Abstract This article deals with the interiors of the Bacardí building (1958–1961) in Mexico City. In this history, Knoll Internacional de México emerges as a major protagonist in the creation of Bacardí’s interiors, acting as a hinge between Ludwig Mies van der Rohe’s Chicago office and Florence Knoll’s New York-based company. A significant number of unstudied letters in the Mies van der Rohe Archives reveal that rather than Mies van der Rohe and Florence Knoll, Mies’s project architect, the American Gene Summers, and Arnold Wasson-Tucker, the Canadian Mexican architect who directed Knoll’s Mexican subsidiary, along with the director of the spirits company, the Cuban businessman José María Bosch, took primary roles in the design and completion of the Bacardí interiors. The transnational reality in which Knoll International existed and which it contributed to create is more clearly expressed in these letters. In them we read that Knoll Mexico acted as interpreter and translator of the intentions of actors from different nationalities involved in the creation of the building. From a transnational perspective we aim to illuminate a transnational design produced by transnational subjects and companies, focusing on the hidden actors and their negotiations expressed in an overlooked interior design.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".