Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I like the ancient pattern, where and instead of one’s title one tells the name of one’s mentor. Three mentors shaped my professional life. The first one was in Warsaw, Poland, Prof. Bohdan Lewicki, whose books on concrete panels were translated in many languages. One day, after his class, he told me: ‘‘We need to evaluate hygrothermal performance of an experimental building with no-fine concrete,—if you would like to do it, I will provide you with all the money needed. From this day on, I have been learning Building Physics. My second mentor was Prof. Lars Eric Nevander in Lund, Sweden, one of the three Swedish professors who in 1972 introduced limit states method into the field of durability assessment, exactly 40 years before the first ISO standard did so. Lars Eric taught me that progress in construction depends on how strong is the continuum between industrial and academic domains in Building Physics. My third mentor was Prof. Neil Hutcheon known in Canada as the father of building science. It is only fair that I start writing my column with his definition of Building Science.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it