C&EN talks with Loreto Paulino, chemist and Arctic explorer
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
In the summer of 2023, on the heels of graduating from the University of Guam with his bachelor’s in chemistry, Loreto Paulino Jr. set up camp in Alaska. He was there as part of the Polaris Project, which brings young scientists on climate change–related research expeditions in the Arctic. He and other project participants were temporarily stationed in the Yukon-Kuskokwim Delta, a vast tundra on the Bering Sea. This remote site lacks roads, so the crew assembled in the town of Bethel, Alaska, and traveled the 95 km to base camp by float plane. For the next 2 weeks, Paulino lived in a tent and made the daily trek to and from his study site—though he occasionally got a lift in a helicopter. Before the expedition embarked, program director Susan Natali mentioned that none of the Polaris Project students had studied beavers. Paulino jumped at the chance. Beavers have long
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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