Forschungsmethodologie zum Wesen und Inhalt der beruflichen Identität der Hochschullehrkräfte
Bibliographic record
Abstract
Research on the development and self-realization of human personality is based on the perception of humans as philosophical beings. The question surrounding the „human being“ has become a question about the survival of humanity. In research centres in Europe, the USA, Canada, China, Australia the balance between biological, psyological and social components in human development is becoming an evermore active research focus. A research group from the Academy for Teacher Education and Educatioanl Administration Riga and the State University Smolensk (Russia) analyzed the professional identity of post-sendary teachers from two cultures with the aim of analyzing the nature of the professional identity of pedagogues and to determine a research methodology. Methodology in pedagogy involves teaching about the untiy of theory and research methods. The structure of scientific methodology is composed of four levels: 1) general theoretical, philosophical, methodological principles and approaches; 2) general pedagogical methodological principles; 3) regularities and principles of the sub-field of pedagogy; 4) principles of selection and use of research methodologies for a specific theme, based on empirical data. The methodological sources of this research are theoretical literature, dissertations in pedagogy as well as individual experiences of pedagogical and scientific activities. The research results show that the professional activity of post-secondary teachers and the quality of societal development influence and connect with each other.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".