Effective Children’s Rights Education from the Perspectives of Expert Teachers in Children’s Rights Education: A Turkish Sample
Bibliographic record
Abstract
The purpose of this study was to investigate Effective Children’s Rights Education (ECRE) from the perspectives of classroom teachers who are experts in children’s rights education (TECR). The data were collected through focus group interview method in this research designed as a case study. The sample of the study consists of six qualified primary school teachers for children’s rights education selected by critical case sampling method. The data were interpreted with the help of content analysis method. Five different understandings have been proposed related to effective children’s rights education. In the light of these understandings, detailed information has been obtained in reference to proposed ways for the administration of effective children’s rights education and where and with whom the process should take place. Furthermore, information has been obtained about the arrangements that TECR have made at class and school levels for an effective children’s rights education. The research is important in terms of providing information on the insights into ECRE and its practices at schools 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".