Sustaining investment in the northern British Columbia forest industry: rates of return and cost of capital
Bibliographic record
Abstract
Forest resources and the forest industry have played a key role over the last 90 to 100 years in providing a livelihood to the people settling in northern British Columbia.Pulp mills were attracted to the region because of the availability of residual woodchips from area sawmills.The two segments now share the cost of timber harvesting through the sale of residual chips from sawmills to pulp mills.In order to be financially sustainable the industry must generate returns that compensate the providers of financial capital.To test whether this is occurring in the Northern British Columbia forest region two firms were selected for study as a proxy for the industry.During the five-year period 2000-2004 the lumber assets of one firm earned a return slightly lower than its cost of capital while the lumber assets of the second firm generated returns exceeding its cost of capital.Panel returns exceeded required returns.Pulp earnings however, were significantly below required returns for both firms.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".