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
they visited him while he was living in Texas.Another unforgettable road trip that he went on was in the summer of 2018, when Zhao and his friend drove all the way from Dallas to visit the Canadian national parks of Banff and Jasper in the province of Alberta, and the Canadian city of Vancouver in British Colombia.Zhao continued his newly acquired passion of riding motorcycles after moving to South Dakota."I am fortunate to live in the Black Hills region because it is a great place for riding my motorcycle," he said.He mentioned that every summer, a ton of motorcyclists come to the Black Hills region for the Sturgis motorcycle rally."One cannot ask for a better place for motorcycle lovers," he commented.Zhao concluded by saying that the feeling of freedom that he gets while driving cars or riding motorcycles is what continues to fuel his passion for them.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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