Discovering the Traits of Personality in Anesthesiologists at Different Stages of Emotional Burnout Syndrome
Bibliographic record
Abstract
To date, intensive care medicine, anesthesiology, and resuscitation are medical spheres that deal with lifesaving issues, particularly the treatment of patients in critical or life-threatening situations. The profession of anesthesiologist-resuscitator is relatively new, although it has centuries-old prehistory. The study aims to identify personality traits that predispose to the formation of emotional burnout syndrome in anesthesiologists-resuscitators. The research was performed at the Anesthesiology and Resuscitation Departments of the regional healthcare facilities in Astana and Akmola cities. Findings obtained through this research confirm the hypothesis that personality traits in anesthesiologists-resuscitators are factors that facilitate the development of emotional burnout syndrome. Such a discovery necessitates the prevention of personality destructions as well as the establishment of conditions to reduce them in the case of occurrence. Proper arrangement of the work schedule and a favorable working environment allows preventing the emotional burnout among employees.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".