The Degree that Nature of Scientific Knowledge Aspects are Included in the Science Classes of Greek High Schools
Bibliographic record
Abstract
The present study examines the integration level of the Nature of Scientific Knowledge in secondary school science classes in Greece. The research was designed and organized on the basis of the Cultural-Historical Activity Theory. The activity system of the researchers, who use the proper tools each time, are in network relations with the activity system of Science Education. Major components of the educational system are studied (the curriculum, textbooks, teachers’ know-how and teaching methods, school inspectors’ viewpoints, students’ knowledge) in relation to the nature of scientific knowledge, to ensure valid results. The curriculum and textbook content is decoded, the knowledge of teachers and students is assessed with the use of an internationally validated questionnaire, and interview protocols are analyzed. Research results reveal that the nature of scientific knowledge is included in a small degree in the curriculum and textbooks, teachers refer intuitively to some of these aspects, without assessing the knowledge of students, and, finally, the majority of high-school graduate students have naïve views regarding the nature of scientific knowledge.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".