Implementation of the of Lifelong Learning Principles as a Background for Quality Specialized Education of Journalists
Bibliographic record
Abstract
The need for lifelong education is urged in the context of constant social transformations, unprecedented challenges, total digitalization of communicative transactions, virtualization of many types of professional activity. Journalism is one of the most sensitive to transformational challenges. Therefore, a journalist must respond objectively, flexibly, tolerantly, adequately, professionally, responsibly and social transformations and challenges to the current realities. To do this, he/she must be prepared for lifelong learning. It is the journalist’s readiness for lifelong learning that is an indicator of the quality of his/her specialized education. The research aimed to empirically establish the skills of journalists related to lifelong learning, and to develop a programme for the implementation of the lifelong learning principles in the professional training of journalists. General scientific methods, surveys of research respondents, qualitative and quantitative analysis of the obtained data, modelling are the methods used. A model of modern journalist training in the context of lifelong learning was formed, a program for the implementation of lifelong learning principles in specialized education of journalists was developed. The results of the research can be used for the development of individual trainings, seminars, compilation of collections of didactic tools for the formation of the ability of modern journalists to education throughout life. Prospects for further research in this area are: experimental testing of our proposed program for the implementation of the principles of lifelong learning in the training of journalists; development of diagnostic tools to establish the levels of readiness of journalism students and practicing journalists for lifelong learning.
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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 | 0.003 | 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 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".