Bibliographic record
Abstract
The recent International Union of Forest Research Organizations (IUFRO) World Congress, held in Brisbane, Australia, showcased a wide variety of high-quality presentations related to forestry research from around the globe. Little of this research, however, can be extended to forest-dependent communities in British Columbia, despite the need to transform the province's forest economy from a commodity orientation to a more diversified approach. Possible exceptions include opportunities to promote the value-added wood products industry, develop a meaningful non-timber forest products and services sector, and incorporate innovative approaches into core business strategies and modes of operation. In this paper, I also argue that much of today's forestry research does not consider the “big picture,” especially concerning sustainability issues and our current ecological footprint. We have come to a juncture in time wherein forestry researchers should take a leadership role with bold, innovative, and interdisciplinary work that serves to benefit the environment, the economy, and society as a whole.
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 | 0.072 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.030 | 0.113 |
| Scholarly communication | 0.036 | 0.072 |
| Open science | 0.005 | 0.032 |
| Research integrity | 0.023 | 0.020 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".