Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When Ian L. McHarg first published his classic statement, Design with Nature, in 1969, and the U.S. Congress passed the National Environmental Policy Act a year later, we in academia and the professions were hopeful that a new era of landscape planning and design had emerged, one that would see the rise of environmentally responsive land use development. Happily some progress did take place in the ensuing decades. Today almost everywhere we give consideration to floodplains, wetlands, air quality, and stormwater management. Species protection is given national attention in both the United States and Canada, and many jurisdictions have enacted policies concerning streams, shorelands, watersheds, groundwater, and open space. Unfortunately, however, the character of development, as well as how it relates to the landscapes it occupies, has not changed much, and on some fronts has declined over the past 40 years. All the while, our knowledge base on the North American landscape and our technical and economic power as individuals, communities, and nations have grown substantially.
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.
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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it