Echoes of Past Lives: Remembering a Tour of the Maison de Verre by Mary Vaughan Johnson
Bibliographic record
Abstract
This article uses a first-person narrative account of a tour of Pierre Chareau’s Maison de Verre to reexamine the narratives surrounding the building. The Maison de Verre is a work resulting from a close relationship between its principal architect and the clients who commissioned it, Annie and Jean Dalsace. The house is renowned for its glass block façade and mechanized design, but this article shows that it is also an intimate recording of the lives and characters of its original occupants. These past lives are inscribed in the fabric of the space and in the choreography of the house’s mechanisms. The author’s experience of the space is framed by the account of our guide, the late Mary Vaughan Johnson. The recording of the tour maps the emergence of the narratives and the echoes of the past, inscribed in and imprinted on the building, as the author moves through the space.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".