Historical Significance from Turkish Students’ Perspective
Bibliographic record
Abstract
The purpose of this study is to determine how students in a south-western province of Turkey employ historical significance which is one of the second order concepts of historical thinking. 44 11th and 12th grade students participated in the study. They were asked to identify the most significant 10 persons in the history and provide their reasons for selecting each person. A total of 127 people are determined by students as significant. Each person identified by the students given a score according to a formula developed by the researchers. Thus 10 people with the highest score determined by the most significant person history. Analysis of these 10 people along with remaining of the list revealed that students are unable to employ professional standards to differ significant people from those who are not. Rather they are quite personal and subjective with regard to selections they made. Additionally it has been revealed that they choose people only from Turkish history, their selections characterized by people from relatively recent past, and paucity of female figures in list raised concerns regarding content, curriculum and instruction of history and social studies courses in Turkey.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".