О СОХРАНЕНИИ ЧЕЛОВЕКА И ЧЕЛОВЕЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ НАСТУПАЮЩЕГО ВАРВАРСТВА: ЛОВУШКИ НА ЭТОМ ПУТИ
Bibliographic record
Abstract
Главная тема статьи — личность в современных услови-ях нарастающего варварства. Главная идея — сохранение человека и человечности в этих условиях. Освещаются проблемы, стоящие перед человеком, не желающим подда-ваться деструктивным варваризующим влияниям. Показаны некоторые практическеие пути сохранения человека и че-ловечности в условиях наступающего варварства и охарак-теризованы ловушки на этом пути. The main topic of the article is the personality in mod-ern conditions of increasing barbarity. The main idea is the preservation of man and humanity under these conditions. The problems facing a person who does not want to suc-cumb to destructive barbarizing influences are highlighted. Shows some of practical ways to keep man and humanity in terms of the attacking barbarity, and the traps on this way are described.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".