Bibliographic record
Abstract
The literature contains ambivalent research findings on the impact of student employment on study careers. Previous findings also indicated that student employment plays a significant role in interrupting study (Kovács et al. 2019). In our exploratory research, we focused on exploring the employment characteristics of university students during COVID -19. The aim of the study is to investigate the impact of the epidemiological situation on young people's work. To what extent did the epidemic change students' attitudes towards work and study? The research involved university students who regularly work alongside their studies. The online survey was conducted between January and March 2021 (N=235). The majority of the students worked during the epidemiological situation. Contrary to our assumptions, they had no major, long-standing financial problems. An important question for educational research is the relationship between work and learning. A quarter of the respondents had work related to their studies. Some of the undivided student teachers may be considered an at-risk group because they had experiences during their employment that made them insecure about their degree. Our results also showed that students who have study-related work are more committed to a degree and less uncertain about finding a job in their chosen profession.
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 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 | 0.002 |
| 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 | 0.000 |
| 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".