Action Research to Overcome the Stress Caused by the Combination of Academic and Work Life of Korean Early Childhood Education Doctoral Students
Bibliographic record
Abstract
The purpose of this action study is to take a closer look at the factors of stress with doctoral students majoring inearly childhood education and to identify changes through the process of overcoming them. As a starting point, inorder to do that, two Korean doctoral students (Park, Joo-yeon and Kwak, Ji-min) majoring in early childhoodeducation were selected, one is a nursery director and the other is a college lecturer. In - depth interviews, journalwriting, and quantitative analysis were used as data collection methods. Park Joo-yeon has chosen internal resourceto get up early in the morning to study for classes and to exercise. Kwak, Ji-min has chosen internal resource totravel, study in café, and to exercise. Park, Joo-yeon chose two methods as external resources. One pointed outemotional support as a warm word of comfort and encouragement, and the other pointed out physical support toreduce household chores through sharing with her husband. On the other hand, Kwak, Ji-min did not choose externalresources. One conclusion we can draw from this process was that not only two doctoral students' stress and stressresponse were alleviated but also overcoming power increased through the process of overcoming them. Proceedingfrom this fact, we could logically assume that overcoming power were effective in individual ability and acceptanceof life.
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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 | 0.015 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".