Structural Strength of Student Desks and Chairs Made of Western Hemlock
Bibliographic record
Abstract
The strength properties of western hemlock (Tsuga heterophylla) lumber, imported from British Columbia, Canada, were evaluated, and the feasibility of utilizing it for making student desks and chairs was investigated. Results indicated better grade lumber resulted in a better recovery in manufacturing desks and chairs, with lumber thickness being the most influential factor in determining the recovery value. Regardless of lumber grade, material strength properties of small clear western hemlock specimens increased with an increase in density. The structural strength of desks and chairs was not affected by their component density except in the bottom plate of the storage space of desks which was tested by repetitive impact. No 8(superscript th)-grade chairs passed the repetitive impact tests, as specified in the JIS-S1021 standard which requires that the back legs be hinged to the ground, and failures occurred at joints between the side rails under the seat and back legs. However, 2 out of five 8(superscript th) grade chairs passed the modified repetitive impact tests when the restraining metal hinges were removed. Type-165 desks assembled with epoxy passed the repetitive impact test. Both types of desks passed the vertical loading tests, and Type-165 desks showed greater structural stability than did the 8(superscript th)-grade type. Using high-strength rails for supporting the bottom plywood plate in the storage space of desks is recommended. Further studies should be focused on improving the structural performance of desks and chairs to be used by primary and junior high school students in Taiwan.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".