Bibliographic record
Abstract
January marks the beginning of a new year and the middle of winter, therefore the holidays in this month are celebrated accordingly: for example, in Canada and the USA on January 1 people celebrate Polar Bear Plunge Day with the organization of traditional swims in icy water, but on January 5 it is proposed to celebrate Fasting Day, obviously with the purpose of saving the body tired from festive feasts. On January 14, in some countries it is customary to celebrate an unusual day — Fight Procrastination Day, which in psychology means «constantly putting things off until later». Some experts have already dubbed this fairly common feature a «disease of the 21st century». January 16 is World Snow Day, and January 21 is International Hugging Day. In addition, on the last Wednesday of January, caring people proposed establishing Let’s Talk Day, dedicated to the issue of the difficult relationship between healthy people and patients with mental disabilities; Canada initiated the celebration of this day. Experts suggest that ordinary people protect themselves from mental illness by leading an active lifestyle, but does this always help? Let's try to figure this out in our ar ticle.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.361 | 0.206 |
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".