Bibliographic record
Abstract
Toxaphene, as a general‐purpose insecticide, was widely used in the United States. The use of toxaphene in the United States can be divided into four different periods between 1947 and 1986, with total usage of about 490 kt, and total production around 720 kt. Inventories of gridded usage of toxaphene in the United States with 1/6° by 1/4° latitude/longitude resolution have been created by using different gridded cropland and cattle as surrogate data. The intensive use of toxaphene on croplands was concentrated in the southeastern part of the United States with the highest usage of 2 kt per grid cell. The results show that the state of Alabama was the largest user of toxaphene, reaching as much as 87 kt, followed by Mississippi at 60 kt. The total usage in the top 10 states is 410 kt, 84% of the national usage in the United States. The use in the first six states, Alabama, Mississippi, Georgia, Arkansas, Texas, and South Carolina, is 350 kt, 71% of the national usage in the United States.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".