Psychological characteristics of people with inflammatory bowel diseases
Bibliographic record
Abstract
The object of the study was the psychological characteristics of the personality. The subject of the study was the psychological personality traits of people with inflammatory bowel diseases. The master's thesis consists of an introduction, two chapters, a conclusion, a list of references (71 sources) and appendices, which includes forms of some of the methods used and descriptive statistics data. The volume of the master's thesis is 86 pages, which contain 12 figures and 12 tables. The introduction reveals the relevance of the research problem, sets the purpose and objectives of the study, defines the object and subject of the study, formulates hypotheses, specifies methods and empirical basis, as well as the stages of research, the theoretical and practical significance of the work. The first chapter includes a review of foreign and domestic literature on the psychological characteristics of people with inflammatory bowel diseases. Sections are presented on models of psychosomatic symptom formation, the prevalence of anxiety and depression in people with inflammatory bowel diseases, alexithymia and intrapersonal conflicts as factors in the development of psychosomatic disorders and an integrated approach to the treatment of inflammatory bowel diseases. The conclusions of the first chapter are the results of the study of theoretical material. The second chapter is devoted to the empirical part of the study. It describes the organization and methods of the study and the results obtained using all the methods used: Spielberger scale for assessing the level of situational and personal anxiety (adapted by Yu. L. Khanin), Beck depression Scale, Toronto Alexithymic Scale TAS-20, Test to identify the level of intrapersonal conflict (A. I. Shipilov) and a simple clinical index of colitis activity (SCCAI). The chapter also provides a comparative analysis of the Mann-Whitney U-test and a correlation analysis of the research results. The conclusions of Chapter 2 include the main results of empirical research. In conclusion, the results of the theoretical and empirical parts of the work are summarized, conclusions on the hypotheses put forward, and the possibility of practical application of the research results is described.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".