Transformation of Social-Personal Mindsets Using MASTER-KIT Technique as a Scientific and Practical Problem
Bibliographic record
Abstract
The article is devoted to the methodological basis of study the problem of the personal and social homeostasis as the manifestation of satisfaction with life, i.e., happiness. The West European and American theories of personality are characterized, they serve as the methodological basis for constructing and justifying the authors’ technique for achieving individual and group goals. The authors’ technique “Master KIT” was tested on 101 participants and showed a positive dynamics in improving the well-being, mood and activity, psychological state. The issues of an objective assessment of changes that arise on the physical and psychological state of clients, their social well-being while using the technigue are relevant. The obtained data will help with the subsequent interpretation of the possibilities of applying the methodology, forming recommendations and improving the procedure of using this technique. Scientific research will contribute to solving practical problems aimed at optimizing a software product, expanding the available product functions, and also has theoretical significance in studying the mechanisms of influence of a technique on a person.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".