Development of a scale to measure lifelong learning
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
Primary objective: to develop a scale to measure students’ disposition to engage in lifelong learning. Research design, methods and procedures: using items that reflected the components of lifelong learning, we constructed a 14‐item scale that was completed by 309 university and vocational college students, who also completed a measure of deep and surface learning. Main outcomes and results: the lifelong learning scale had reasonable reliability, and showed some differences between students in different discipline and institutions. As hypothesized, lifelong learning was positively related to the deep approach to learning and negatively to the surface approach. Conclusions: although the factors that contribute to the lifelong‐learning attributes measured here have yet to be investigated, this questionnaire can provide an overall picture of a group’s inclinations towards lifelong learning. It can help evaluate the effectiveness of educational interventions, or allow individual students to understand their learning strengths and weaknesses.
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| Open science | 0.001 | 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