Update on IRC research activities
Bibliographic record
Abstract
The Institute for Research in Construction (IRC), part of the National Research Council of Canada, serves Canada's construction industry with a diverse program of services in research, building code development, materials evaluation and technology transfer. Working with partners nationally and internationally, IRC addresses construction issues that have a significant economic impact. The accent is on promoting and developing innovative technologies that improve the performance and durability of built facilities, enhance occupant satisfaction and safety, increase industrial competitiveness, and protect the environment. There is an increased emphasis on life cycle costing. A hallmark of IRC's research is its multi-disciplinary strategy, enabling a holistic approach to the investigation of problems.
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 | 0.043 | 0.067 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.039 | 0.045 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.090 | 0.073 |
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".