Bibliographic record
Abstract
From the time I was a child playing hide and seek in the orange groves of southern California, I sensed something was wrong with my world. During the 1960s, a thermal inversion over the Los Angeles basin was deadly. Sometimes, a Smog Alert would be called: Schools closed, businesses shut down, elderly and children were told to stay indoors and to move about as little as possible. The smog became so thick, I remember having trouble making out the juniper bushes across the street. The sky was darkened with a heavy, pinkish-gray glow, and my eyes stung and watered looking out at it. A Smog Alert was not like a snow day, no one could go out and have fun-my chest hurt if I breathed too hard. Even so, eventually the rains came or the Santa Ana winds would blow, and life would go back to normal. Yet I have never forgotten those tllickened winter days when life stopped and children couldn't play. When I was fifteen years old, my family took a road trip through some of our country's great National Parks: Zion, Bryce, Tetons, Yellowstone, and fmally Glacier National Park. As we made our way through these indescribably magnificent biogems, I was aware of something stirring in tlle depths of my consciousness. One day, as we drove up Going to the Sun Highway in Glacier National Park, the feeling grew stronger. At the top of the Continental Divide, in the shadow of Mt. Reynolds, holding soft, white cone-like beargrass and alpine flowers between my fingers, I suddenly connected witll my surroundings. The mountains themselves were breathing, and I was inhaled and exhaled along with the beargrass. As I looked into the choppy green-blue waters of Hidden Lake, out at the looming thunderstorm on the horizon over the North Fork watershed, I realized that I could breathe; not only clean air but my spirit as well. This corridor is in the center of the Crown of the Continent, containing some of the most intact wildlife in North America, along a 10 million-acre ecosystem that spans tlle Rocky Mountains through Montana to Canada's warm springs in Banff National Park. I felt the immense expansiveness of this living system and my interconnectedness to life within it.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".