Investigation of the Exraction Processes and Performance Properties of Kudzu Fibers
Bibliographic record
Abstract
While kudzu was introduced into the Southeastern United states for soil erosion and increase of land fertility, the plant has become unmanageable and is rapidly spreading to Canada. Japanese traditional craftsmen extract long, white fibers by labor intensive practices not feasible for 21st century commercial fiber production. This research investigated extraction by boiling, retting or fermentation, enzymatic combinations, and mild chemical processes. Two types of fibers were resultant- soft fibers and compact woody fibers. These fibers types were assessed for microscopic visual appearance, elemental analysis using EDAX SEM, and tensile strengths for the four extraction processes. In all extraction cases, the resultant amount of woody kudzu fibers was 2-5 times that of soft fibers. Breaking elongation of both soft and woody fibers was very high as compared to that of cotton fibers. Chemical processes improved the strength of soft fibers to a very high degree, averaging 19.89kg/tex.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".