Dynamics and Potentiality of Postgraduate Students Regarding Lifelong Learning. A Greek case.
Bibliographic record
Abstract
The purpose of this article is to contribute to a gradually expanding discussion on the role of lifelong learning in the personal and professional lives of individuals, as well as on the socioeconomic trends and practices in the global context. It presents the results of a survey carried out with a structured questionnaire on postgraduate students in social and economic sciences in a Greek university, in order to explore their views, perceptions and attitudes regarding lifelong learning; it also explores the way in which these factors guide their ideological commitment of lifelong learners, as well as their corresponding dynamics and potentiality. The definition of these determinants would significantly enable the effective implementation of lifelong learning by contributing to a wider range of interventions, varying from planning activities to eventually influencing the socioeconomic environment and transforming relevant national and supranational strategiesKeywords: lifelong learning; adult learning; postgraduate studies; professional development; social qualities
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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 | 0.000 | 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 | 0.000 | 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 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".