The use of wood for construction and energy in the natural city: The case of Canada
Bibliographic record
Abstract
The author received a Ph. D in physical chemistry from the University of Washington, Seattle, USA in 1962. At present he is Professor for Physical and Theoretical Chemistry at the Division Geo Sciences and Geography, Institute for the Atmosphere and the Environment, Goethe University of Frankfurt, Germany. His work ranges from the quantum mechanical description of molecules to the dynamics of global systems. In 1973 he introduced the first interdisciplinary course on "chemistry and environment; an ecological approach to chemical processes in nature and technology" at the University of Frankfurt. Later his emphasis focused on biogeochemical cycles, in particular, the "global carbon cycle, biosphere and climate." In cooperation with his co-workers he developed a world model for the CO2 exchange between the biosphere and the atmosphere, the "Frankfurt Biosphere Model, FBM." He was visiting professor at the University of California, Berkeley, as well as Los Angeles and San Diego (Scripps Institution of Oceanography), University of Louvain-la-Neuve, Belgium, Tropical Science Center of Costa Rica, University of Paris, Orsay, the National Australian University, Canberra, and most recently Stanford University, USA. He was director of the Institute for Physical and Theoretical Chemistry and of the former Center for Environmental Studies (Zentrum für Umweltforschung ZUF) of the University of Frankfurt. In 1991 he was awarded the Philip Morris Research Prize "Challenge Future" for his work on the carbon cycle connected with the development of the Frankfurt Biosphere Model. In 1998, following a workshop in Freising, Germany, he, together with his colleagues M. Weber and R.A. Houghton, published the Springer Book: Carbon Dioxide Mitigation in Forestry and Wood Industry. Professor Kohlmaier became a member of the World Society of Ekistics in 2001, returning to his roots as his father was an architect.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".