Bibliographic record
Abstract
January marks the beginning of the new year and the middle of winter, therefore, the holidays this month are celebrated accordingly, for example, in Canada and the United States, Walrus Day is celebrated on January 1 with the organization of traditional swims in ice water, but on January 5, it was proposed to celebrate Fasting Day, obviously, with the purpose of saving the body tired from the festive feasts. On January 14, in some countries, it is customary to celebrate an unusual day — the Day of Combating Procrastination, which in psychology means «constantly putting things off for later», some experts have already dubbed this fairly common feature «the disease of the 21st century». January 16 isWorld SnowDay and January 21 is International Hug Day. Besides, on the last Wednesday of January, concerned people proposed to establish Let's Talk Day, dedicated to the problem of difficult relationships between healthy people and patients with mental disorders. Canada was the initiator of the celebration of this day. Experts suggest that ordinary people protect themselves from mental illness by leading an active lifestyle, but does it always help? Let's try to figure it out in this article.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.214 | 0.105 |
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 source (direct Gemma or distilled Codex), 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".