The Meadoway: native meadow creation in underutilized transmission line corridors
Bibliographic record
Abstract
Across Ontario, Canada, there are over 30 000 km of transmission line corridors. With proper planning and ongoing maintenance and monitoring, these corridors have the potential to be transformed into native meadow, offering vital pathways connecting natural heritage systems and supporting wildlife movement, while promoting biodiversity, natural functions, and ecosystem health. In 2019, seeding trials were established in the Gatineau Hydro Corridor in east Toronto where a long-term meadow creation project (The Meadoway) is ongoing, to evaluate the effectiveness of herbicide treatment (glyphosate), sowing method, and sowing season on seeding success with the goal of informing site-specific meadow creation techniques. Seed mixes included a variety of native grasses and forbs and were dominated by copper savannah grass ( Sorghastrum nutans), big bluestem ( Andropogon gerardii), little bluestem ( Schizachyrium scoparium), and switch grass ( Panicum virgatum). Overall, fall or winter seeding with herbicide led to the highest seeding success. There was no difference in the effectiveness of hand seeding or using the seed drill. The results of this work provide valuable insights into effective seeding techniques to improve seeding success and also highlight the benefits of in situ experimentation to inform meadow creation techniques.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".