Ecological wisdom: Reclaiming the cultural landscape of the Okanagan Valley
Bibliographic record
Abstract
The bucolic Okanagan Valley, located on traditional territory of the Syilx/Okanagan Peoples in British Columbia (Canada), is a region in transition, the outcome of climatic and hydrological changes related to global warming and over a century of development-driven land use management practices. Land use decisions and public policy continue to be driven by an unfettered hunger for land, not necessarily in the long-term interest of delivering sustainable or socially equitable development models, while ongoing planting of new vineyards represents one of the most severe threats to biodiversity within the Valley. Respect for Indigenous expert knowledge–Traditional Ecological Knowledge and Wisdom (TEKW) – and maintaining their values in the land, is a land use topic often excluded from settler expansionism development practices and policies. This prospectus paper calls for a shared vision, developed in partnership with local expertise, to ensure a productive and experientially rich cultural landscape that protects the long-term viability of the region. Establishing a comprehensive policy framework for the natural and built environment grounded in the concept of investing in ‘place’ is proposed as a potential step forward in developing sustainable and adaptive communities to secure the well-being of the Valley. TEKW provides a base from which to connect ideas about cultural landscape, beauty, experience, and environmental policy, to support the conservation and sustainable management of natural capital for the benefit of future generations.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".