Bibliographic record
Abstract
Raedon is about insomnia during the pandemic in the middle of December. The colours represent nocturnal hours as if they were the dark blue night sky with the northern lights out. Every students’ class is moved to remote access. Stay home advisories are still in place with social distancing. This causes some complications as there is a lot of “free” time in the comfort of our home. For me, it’s painting until 5 or 6 am in the morning. Then waking up just in time for WebEx class meetings, workout, homework, game, paint – repeat. Awakening is about overcoming all the hardships the pandemic has brought. It is a part of my on-going series called The Void. The pandemic has shown me things I needed to deal with on a personal level. I hit rock bottom in my life and failed in so many ways during Covid-19. My life began to turn towards positive after fasting late summer of 2020. I’m fortunate to have a new perspective on my life and the future. I am grateful I get to finish my psychology degree and begin my Bachelor of Fine Arts. In other words, Awakening represents healing, strength and a clear focus for the future regardless of things going on outside of ourselves.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.748 | 0.415 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".