Investigation of Psychological Well-Being Emotional Awareness and Expression of Emotion of Turkish and English University Students with Respect to Country and Gender
Bibliographic record
Abstract
The aim of this study is Turkish and English university students' psychological well-being, emotional awareness and expression of emotions of how differ according to gender and to the country. The research is a descriptive study. The Turkish group of the research was 349 Turkish university students educated at Gazi University in 2010-2011. The English group was 251 English university students. 229 of these students were from University College of London, University of London or Middelesex University in 2010-2011; 19 of these students were participated in the online research which was addressed as www.mediko.gazi.edu.tr/survey. Toronto-Alexithymia 20 Scale (Bagby, Parker and Taylor, 1994; Beştepe, 1997), Psychological well-being Scale (Ryff,1989; Cenkseven, 2004), and Personal Information Form were used to collect data. Multi analysis of variance (MANOVA) and t test were used for analysis. The results of the research showed that psychological well-being, emotional awareness and expression of emotions of Turkish university students was lower than the English students. The results were evaluated in terms of literature and institutional prospect; the suggestions were made by considering the future research and practical implication for counseling services.
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 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 | 0.000 |
| Science and technology studies | 0.001 | 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".