THE RURAL-URBAN CONNECTION: Growing Together in Greater Vancouver
Bibliographic record
Abstract
Canada has faced a problem of sprawling metropolitan growth and associated losses of farmland and natural habitat for decades. British Columbia recognized this predicament in the 1970s and es blished the Agricultural Land Reserve. While established to preserve agricultural land, the Reserve has acted as a de fa o urban growth boundary. It has become the cornerstone of a comprehensive planning approach as embodied in the Livabl Region Strategic Plan of the Greater Vancouver Regional District. The Plan has helped guide the accommodation of an additio years while maintaining productive farmland, important green space and habit Regional District realized a $400 million increase in its total gross farm receipts constant. This approach offers a model of how metropolitan areas can provide habitat while enhancing overall Ina Sommaire Depuis des decennies, le Canada est confronte au probleme de I'etalement agricoles et d'habitats naturels. La Colombie-Britannique a reconnu cette mal cree une reserve de', terres agricoles (RTA). Etablie dans /'intention de proteg dans les faits, a limiter I'etalement des villes. Elle est devenue la pierre angula s'est concretisee par I'adoption du plan strategique de la region habitable du oriente I'implantation d'un million de personnes de plus dans la region au cour terres agricoles productives ainsi que des espaces verts et des habitats impo Vancouver est parvenu a augmenter de 400 millions de dollars les reven consequente la superficie de la RTA. L'approche qu'il a adoptee constitue don peuvent s'y prendre pour composer avec la croissance tout en preservan rehaussant I'habitabilite d'ensem
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".