Material schmecken: Die Materialsammlung der ETH Zürich - ein Kooperationsprojekt der ETH-Bibliothek mit dem Departement Architektur und dem Netzwerk Material-Archiv
Bibliographic record
Abstract
The Materials Collection is newly established at the ETH-Bibliothek in Zurich in cooperation with the Department of Architecture. As part of the Baubibliothek (building library), the collection presents a publicly accessible, systematically structured exhibition of sample materials that offers a unique symbiosis with the corresponding literary and media holdings. The collection ranges from basic, historical materials to the most important materials used in the built environment today, right down to the latest materials in the technological vanguard. To supplement the physical objects, collaboration with the network Material-Archiv (Materials Archive Association) has provided a material-specific database which details the technical characteristics and contexts of the materials and products. This joint project was launched in 2011. The collection is continually expanding and already includes about 1000 objects
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".