An industrial complex for Levi Strauss and Company
Bibliographic record
Abstract
Since Levi Strauss and Company had its beginning in San \nFrancisco, California, in 1~50, it has grown to become the \nnation's largest manufacturer of brand name western wear, \njeans, and wash-and-wear slacks. During its one hundred and \nfourteen years of existence, the company has more than fulfilled \nthe expectations of Levi Strauss, its founder. It \nhas expanded from one small clothing shop on San Francis co's \nCalifornia Street to fifteen manufacturing plants in eight \nstates and a major interest in a modern plant in Canada. \nThe company now employs more than six thousand persons. Also, \nthe sales gain in 1964 alone was greater than the company's \ntotal annual sales only twelve short years a go. \nBased on the assumption that Levi Strauss and Company· \nwill continue to expand, it is conceivable that the building \nof new plants and warehouses would be uppermost in the minds \nof the executives. Therefore, a complex is proposed for \nWichita Falls, Texas, to replace the existing inadequate \nmanufacturing plant and to relocate the home office in a more \ncentral location to its existing plants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.462 | 0.198 |
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".