Different Forms of Civil Activity and Employment in Hungary and Abroad, and the Development of Student Drop-out
Bibliographic record
Abstract
Young people involved in higher education have created a specific culture, to which, in addition to their studies, social and cultural activities associated with university life are also related (Kozma, 2006). Among these activities, student employment and participation in civic organizations should be highlighted. Voluntary and paid work among higher education students is increasing. These activities have several advantages in terms of future benefits; however, the attracting role of the labour market is one possible reason for dropout. In our current research, we emphasize the role of employment and civil activity in the development of student dropout. Masevičiūtė et al. (2018) found that a quarter of students stopped studying for work-related reasons. In addition, a negative perception of the marketability of the course they are on may lead to the interruption of university studies. In our study, we analysed the extent to which students are willing to interrupt their higher education studies in exchange for voluntary work. In our current research, we examined how often and for what reasons students who dropped out did paid work and volunteering during their studies.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".