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
Global urbanism has left almost no room for native ecology, this has an adverse effect on biodiversity, so adverse that biodiversity has been lost at an alarming rate globally, accounting for between 50-70% of species eradication. Having witnessed firsthand on the land I grew up on, the immense positives of native plantings on the creation of biodiversity, I am eager to implement native plantings in an architectural thesis. Not only is this important to flora and fauna, and the environment, but also for the biophilic connection humans crave with their environs. The reintroduction and preservation of native plantings, species, and by extension, ecosystems is a process now coined as rewilding. This thesis is an exploration of the implementation of rewilding in our ever-urbanizing world. How can a city adopt strategies to combat the severe loss of biodiversity? How can we push the bounds of what is acceptably wild in our cities? What does wild mean to us?
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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