Need satisfaction, work–school interference and school dropout: An application of self‐determination theory
Bibliographic record
Abstract
BACKGROUND: In many parts of the world, it is common for secondary school students to be involved in part-time employment. Research shows that working can have a negative impact on school engagement. However, the majority of studies have focused on the amount of time that students spend working rather than on the quality of work experience and its influence on school engagement. AIMS: This study explored the relation of part-time work and school experiences to dropout intentions among secondary school and junior college students. The study was conceptualized from a self-determination theory perspective (Deci & Ryan, 2000). SAMPLE: Participants were 3,248 students from rural and suburban schools in the greater region of Montreal, Canada. METHOD: Questionnaires were used to assess the number of hours worked, the extent to which work interfered with or facilitated school functioning, autonomy, competence, and relatedness experienced in the work and school domains. School performance and school dropout intentions were also assessed. RESULTS: A curvilinear relation between work hours and dropout intentions was found, reflecting that part-time work began to be associated with higher dropout intentions only when students worked more than 7 hr per week. Analyses also showed that work-school interference was related to dropout intentions, and that this variable served to mediate the relation of employer autonomy support to dropout intentions. CONCLUSIONS: These results suggest that both the quantity and the quality of students' part-time work experiences need to be considered when examining the relation of work to school engagement.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".