Quarterly Southern Pine Sawtimber Stumpage Prices in Louisiana over the Last 45 Years: Bugs, Owls, and Water
Bibliographic record
Abstract
The various factors causing the price movements of southern pine sawtimber stumpage in Louisiana from the year 1955 to 2000 are discussed. The quarterly stumpage prices from the year 1955 to 2000 are also presented. The southern pine beetle outbreaks of the year 1985 and 1986 caused sawtimber stumpage price to decrease from $144.13 per MBF in first quarter of 1985 to $98.66 per MBF in the third quarter of the same year. The brief drought in the year 1996 had also caused the stumpage price drop. With the arrival of the plywood industry in the South, the demand for sawtimber increased and prices also increased from about $100/MBF to around $150/MBF between 1966 and 1969.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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; both teacher heads agree on what is shown here.
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".