Bibliographic record
Abstract
It is a bit difficult to determine the principles of purification of soul in this way, because its principles are numerous. However, there is one thing in common among the excess of principles, that among the principles that are detailed, there are also summary principles. Due to which, the principles of purification of soul Familiarity with rules and regulations is possible. Self refers to that force which is the source of thoughts. Self is the source of thoughts and feelings. Therefore, the thoughts of goodness and evil also begin from here. The first thought arises in the self of man. Later, the same thought takes the form of intention and actions are created by intention. It is as if there is no idea, then no action is created by man. The self exists as a test and trial in the universe. It is always ready to mislead a person. If a person follows the idea created in the mind, then he will be caught in the net of the self, while if he follows the decision of the heart, then common sense will be included in it. Due to which a person will be inclined to do good instead of evil. Self-improvement refers to the immaterial source of thoughts in a person, i.e., purifying the self from bad morals and sins and making oneself a manifestation of pure morals. Self-improvement. Among the principles of repentance, fear of God, asceticism, patience, gratitude, sincerity, trust, love, education, contentment and fear of death are mentioned in this article.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.969 | 0.980 |
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".