Bibliographic record
Abstract
The Vorarlberg architect Hermann Kaufmann is a pioneer of the modern timber construction with which his name is inseparably linked. In his pleasant but persistent manner, Hermann Kaufmann has never tired of pointing out the qualities of timber construction and, at the same time, developing it further with his buildings through the use of new modern products and the sounding out of new construction methods in order to make timber construction, as he himself says, even better. He has always been open to new developments. Commercial buildings seem to be a good field for trying out these new developments and new construction methods in timber construction. As functional and practical as commercial buildings need to be, they also clearly do leave some leeway for trying out new ideas. Clients, architects, and construction companies use such buildings to experiment, to try out new joints, new material combinations and new engineered woods. By looking at a few examples of industrial developments, we can see how timber construction has changed from a traditional to an ultra-modern method, and better understand the advantages that this building material offers and how Hermann Kaufmann prepared this path with his buildings. This text is an abridged and revised version of an article first published in «Bauband 3: Gewerbebauten in Lehm und Holz», a special edition of the journal DETAIL – Zeitschrift für Architektur + Baudetail.
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 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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.018 | 0.019 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.120 | 0.102 |
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".