Designing Gardens with Flora of the American East, Revised and Expanded
Bibliographic record
Abstract
As recent years have seen alarming declines of insect and bird populations in many states, more gardeners have discovered the importance of including native plants in order to nurture these pollinators and sustain local ecosystems. But when so many popular landscaping designs involve exotic cultivars and invasive plant species, how can you create a garden that is both aesthetically pleasing and ecologically responsible? In this fully revised second edition of the classic guide Designing Gardens with Flora of the American East , gardening expert Carolyn Summers draws on the most recent research on sustainable landscaping. She is joined in this edition by her daughter, landscape designer Kate Brittenham, offering an intergenerational dialogue about the importance of using indigenous plants that preserve insect and bird habitats. The practical information they provide is equally useful for home gardeners and professionals, including detailed descriptions of keystone trees, shrubs, perennials, vines, and grasses that are native to the eastern United States. Accompanied by entirely new illustrations and updated plant lists, they offer chic yet eco-friendly landscape designs fully customized for different settings, from suburban yards to corporate office parks. The states covered in this book are CT, DE, IA, IL, IN, KY, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NY, OH, PA, RI, TN, VA, VT, WI, and WV, as well as southern Quebec and Ontario.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".