A STUDY OF THE RELATIONSHIP BETWEEN STUDENTS’ VIEWS TOWARD A CAREER MANAGEMENT CLASS AND THEIR FUTURE CAREERS
Bibliographic record
Abstract
Today, the pursuit of professional career goals is a challenge and the best way to handle this challenge is through the accumulation of knowledge, skills, experience and vision regarding the job, which are all connected with the subject of career. Institutions of higher learning provide students with the necessary knowledge and skills. It is, however, important that students’ awareness about the career itself be raised. In Turkey, this awareness is provided through career management classes. The purpose of this study is to identify the relationship between college students’ views about the career management class and their views about their future careers. The authors of this study examined this relationship among students a Turkish university. The results reveal that when students have more positive ideas about the career management class, they approach the issue of career more professionally, i.e., their enthusiasm for career planning increases, they show less hastiness about the future, they become more inclined to think that their future is not uncertain and they perceive that they are receiving adequate career support.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".