Lifelong learning characteristics, adjustment and extra-role performance in cooperative education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many organisations hire students from cooperative education (co-op) programmes. These organisations are interested in students’ performance, particularly in their extra-role performance. Previous studies show that socialisation processes play an important part in establishing adjustment and performance. It may also be the case that students’ approach to learning (their motivations, attitudes and strategies) influences the socialisation process, and consequently adjustment and performance. The purpose of this study was to examine the influence of co-op students’ lifelong learning characteristics on two organisational socialisation outcomes (role understanding and social acceptance) and three types of extra-role performance (proactive, adaptive and prosocial). Data were collected from a cross-sectional survey of undergraduates (n = 1698) enrolled in co-op who had just completed a work term in a new role. Regression analyses showed that lifelong learning characteristics influenced both forms of adjustment, and all three forms of performance. Further mediation analyses showed that both forms of adjustment partially mediated the relationships between lifelong learning and all three forms of performance. These results suggest that co-op students’ lifelong learning characteristics play an important role during organisational socialisation and subsequent extra-role performance. Implications for future research and for practice are discussed.
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.
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 | 0.000 | 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) | 0.000 | 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 it