Study of cognitive functions in elderly people with type 2 diabetes mellitus
Bibliographic record
Abstract
The object of study of this work is the cognitive functions of elderly people with type 2 diabetes mellitus. The subject of this work is the relationship between diabetes mellitus and cognitive functions of elderly people with type 2 diabetes mellitus. The master's thesis consists of an introduction, three chapters, a conclusion, a list of references and two appendices. The introduction reveals the relevance of the research problem, the development of the problem, sets the goal and objectives of the research, defines the object and subject of the research, formulates the main and additional hypotheses, indicates the methods and empirical basis, as well as the stages of the research, scientific novelty, theoretical and practical significance of the work. The first chapter includes a review of foreign and domestic literature on the topic of cognitive functions in older people. Sections devoted to the study of the effect of type 2 diabetes mellitus on cognitive decline in older people are presented. Conclusions for the first chapter represent the results of the study of theoretical material. The second chapter is devoted to the empirical part of the study. It provides a description of the organization and methods of the study and the results obtained from all methods used: the Montreal Cognitive Function Assessment Scale and the author's questionnaire. The chapter also presents an analysis of the research results. The conclusions of Chapter 2 include the main results of the empirical study. In conclusion, the results of the theoretical and empirical parts of the work are summarized, as well as conclusions on the hypotheses put forward, the practical significance of the study is substantiated and possible prospects for further development of this issue are 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 | 0.001 | 0.002 |
| 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) | 0.002 | 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".