Bibliographic record
Abstract
This thesis explores architectural wood assemblies and \nfabrication methods, towards the design of a wood architecture research \nand fabrication centre, at Laurentian University. During the 19th century \ntimber was the dominant building material used throughout Northern \nOntario. The industrial revolution of the 20th century, introduced concrete \nand steel into the construction industry as fire-resistant alternatives \nto timber buildings. Due to increased environmental concerns and \nthe advancement of engineering capabilities, wood has re-emerge \nin the 21st century as a low-carbon alternative to concrete and steel \nconstruction. This revolution towards a sustainable building industry is \ndemanding an increased understanding of wood, and its potential within \nthe built environment. This thesis examines academic and industry \nresearch facilities experimenting with wood buildings assemblies and \nrobotic manufacturing processes. Design and fabrication research is \nconducted to develop a new architectural assembly that is applied in \na building proposal for a Wood Architecture Research and Fabrication \nCentre at Laurentian University, in Sudbury, Ontario.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.017 |
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".