Investigation of Relationship between High School Students’ Career Adaptability, Subjective Well-Being and Perceived Social Support
Bibliographic record
Abstract
The purpose of this study is to examine the relationship between high school students’ social support, career adaptability and subjective well-being that are perceived from their family, teachers and friends. The study group consisted of 325 students (193 girls, 132 males) in three secondary schools located in Cukurova and Yuregir districts of Adana city. The data were collected through Career Adaptability Scale, Life Satisfaction Scale, Positive and Negative Affect Schedule and Perceived Social Support Scale and Personal Information Form developed by the researchers to reach the demographic information of the participants. A path analysis was conducted within the framework of structural equation modeling to investigate the relationship between social support, career adaptability and subjective well-being that the students perceived. Data analysis was done through SPSS and AMOS package programs. Correlation coefficients of arithmetic mean, standard deviation, pearson moment analysis were calculated, and path analysis was performed based on the observed variables. The research findings show that there is a significant relationship between subjective well-being, career adaptability and perceived social support. The perceived social support from family, teachers and friends are variables that predict the career adaptability of high school students. Career adaptability has also been found to be a significant predictor of subjective well-being.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".