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
The Great Lakes have undoubtedly changed in the past century. Since these changes have impacted those who regularly interact with the lake, I would like to study the changes from their perspective. Great Lakes marathon swimmers have an intimate relationship with the Great Lakes. Open water marathon swimming involves a single swimmer with a swimsuit, goggles, and a swim cap swimming across an open body of water further than 10 kilometers. Those who have been participating in the sport for a long time have firsthand knowledge of how the lake has changed. This collection will focus on prominent Great Lakes marathon swimmers who had their swims sanctioned by Solo Swims of Ontario. Their stories will inform us about the challenges swimmers face in the Great Lakes from pollution to unpredictable weather. The ultimate goal of this project is to utilize first-hand accounts to learn about the environmental history of the Great Lakes and guide future environmental policy.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.987 | 0.006 |
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