Softwoods Used in Construction – With Their Main Properties and Sustainability Credentials
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
This chapter describes a timber’s general appearance, then provides an indication of its average density (weight), and goes on through all its main characteristics. It begins with the softwoods, which tend very much to be the ‘workhorses’ of the wood-using industries. They are used extensively in most normal construction. The chapter outlines the two timbers most commonly used in the United Kingdom and Europe, known almost universally within the timber trade by their common names, ‘European redwood’ and ‘European whitewood’. In terms of the ‘sustainability’ credentials of both European whitewood and British spruce, they are much the same as for European redwood. Douglas fir is a native of western North America, growing in pretty much the same areas as Western hemlock, most abundantly in British Columbia in Canada and in Washington and Oregon in the United States.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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