Humanity, Forest Ecology, and the Future in a British Columbia Valley:A Case Study
Bibliographic record
Abstract
One of the most important and challenging issues facing humanity in the 21st century is the increasingly complex human-ecology interface. This article suggests the potential that integral mediation and integral ecology hold in addressing this interface. It distinguishes two categories of ecological challenges, removed and local tangible ones, and indicates that they require adapting methodologies to address them. Using a local tangible challenge—a 35-year old conflict over land use issues in the Slocan Valley, British Columbia, Canada—as an example, an integral mediation approach is outlined. First, context is given, both historically and geographically. Then the main capacities employed in the vision-building and mediation process are outlined. The article presents the case in such a way as to emphasize some generalizations, favoring these over a presentation of many case details. It concludes with a brief description of perspectives that are prerequisites in order to successfully apply integral solutions to the human-ecology interface.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".