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
t was when Robert Scott ran into three black bears on their way to his kitchen that he realized things had to change.The mother bear and her cubs had broken through two screen doors and entered the porch of his Wintergreen, Va., home on that night in 2007.When they found the door to the kitchen locked, the discouraged bears left.But they kept busting into other homes-someone must have given them food-and later in the summer a mother and two cubs, believed to be the same trio, were shot by authorities.All told, nine bears were killed or relocated that year and the next for rummaging in Wintergreen.Scott and his wife, Sarah, had bought a retirement home in the resort community near the Blue Ridge Parkway to live amongst wildlife.To the couple's delight, as they sat on their screened porch, they would occasionally see a bear walk to a stream below their house to get a drink of water.But within just a few years, they were watching bears killed after being tempted into the area by bird feeders and easily opened trash cans.Virginia's black bear population has rebounded in recent decades, helped by limits on hunting and the return of forest.Once pushed to the extreme west of the state, today bears roam every county except those on the eastern fringe.Looking for a way to live with their new wild neighbors, the Scotts began doing online research.They found an approach that's worked in places across the United States and Canada: not the hunting often presented as a commonsense response to growing human encounters with bears, but a gentler and far more effective answer that goes by different names, including Bear Aware, Bear Wise, and Bear Smart.Using information from the Get Bear Smart Society in British Columbia-which has the most bears of any region in North America-the Scotts and other interested residents formed a council to educate people about not feeding bears, either directly or indirectly.Soon, the Wintergreen Property Owners Association board approved a ban on bird feeding from April to December, plus a requirement that garbage be either kept indoors or stored in locked, bear-resistant dumpsters. Bear COUNTRYIn Yellowstone National Park, a man strays within the park's required 100-yard boundary to photograph a black bear.If we're to coexist with bears, we'll need to restrain the part of human nature that desires these close encounters.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it