Domestic Wood Products Manufacturing Trends and Factors to Enhance Competitiveness
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
manufacturers to close domestic plants and substitute components or complete lines of furniture with imported products. Today, we conservatively estimate that approximately 40 percent of all wood residential furniture sold in the United States is imported from foreign countries. Foreign manufacturers, led by China, Canada and Italy, have nearly doubled their share of the U.S. wood household furniture market since 1990 [1]. While the impact on the U.S. wood home furniture market has been most pronounced, imports have also increased their share of market for wood office furniture, kitchen cabinets, and upholstered furniture [1,2]. Reasons for domestic market share losses include increasing globalization exposing companies previously sheltered from international competition, improvements in containerized
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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) | 0.004 | 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