Gender-Based Content of Educational Materials for the Study of Serbian Language in Lower-Stage Grades of Elementary Education
Bibliographic record
Abstract
This paper presents the results of analysis of educational materials for the study of Serbian language in lower-stage grades of elementary education (intended for students from 7 through 11 years old) from gender perspective. The first part of the paper presents the process of institutionalization of gender-based education in the Republic of Serbia after the year 2000, when gender issues became highlighted as an integral part of the overall reform of education within the implementation of education for democracy and civil society. Declarative commitment to developing gender sensitivity has led to changes in the curriculum for elementary education and, presumably, changes in the selection of educational materials for different school subjects. The authors intended to determine whether educational materials for Serbian language honor the principle of gender equality in the selection of literary texts. The presence and nature of gender-based content in reading books from different publishers, for second and third grade, was determined by using the method of content analysis. The aim was to establish empirical evidence that would show the degree of gender sensitivity of analyzed educational materials and their compliance with the strategic commitment to gender mainstreaming in education. The authors are aware of the range of this micro-level research, and the impossibility to reach general conclusions, however, in their opinion, the obtained data may shed a light on at least one part of the mosaic of the complex relationship of education, educational material and gender equality in contemporary Serbian society. The following conclusions were drawn: (a) the analyzed educational material serves the function of developing gender sensitivity; (b) the principle of gender equality is respected in selection of the material; (c) the distinguished gender characteristics go beyond the so-called traditional gender pattern.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".