Review of the Relationship Between High School Students’ Career Adaptability Levels and Their Attachment Styles
Bibliographic record
Abstract
This research is a descriptive study in the relational screening model that aims to examine the relationship between the career adaptability levels and attachment styles of high school students. The study group consists of a total of 582 students, 362 girls and 220 boys, who are attending the 9th, 10th, 11th and 12th grades in 4 high schools in the central districts of Adana. The age range of the participants is between 14 and 19 years old. In the study, data on the career adaptability of adolescent students were obtained by using the ‘Career Adaptability Skills Scale,’ the data on attachment styles were obtained by using the ‘Relationship Scales Questionnaire,’ and the data on personal information were obtained by using the ‘Personal Information Form’ prepared by the researcher. In the analysis of the data of the study, Pearson Correlation Coefficient, t-test, analysis of variance and standard multiple regression analysis techniques were used. According to the results of the research, while there was a significant relationship between career adaptability abilities and secure, fearful and obsessive attachment, it was seen that there was no relationship with indifferent attachment. When the results of multiple regression analysis are examined, it is seen that attachment scale sub-dimensions are a significant predictor of career adapt-abilities. The only predictor of high school students’ career adapt-abilities is secure attachment. Other variables were found to be meaningless.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".