Chilean Teacher Educators’ Conceptions on the Absence of Women and Their History in Teacher Training Programmes. A Collective Case Study
Bibliographic record
Abstract
Schools must assume a clear position that considers gender perspectives and studies in their programmes’ construction as well as in discourses and practices produced and reproduced in the school context. Social sciences education is a key area that enables the creation of tools to reflect and foster social justice practices in face of violence against women. In this article, we focus on some reflections of social sciences education professors in Chile. Specifically, we discuss the limitations they face to include women and women issues in their classes. The methodology utilised is Collective Case Studies. The methodology used has a socio-constructivist approach and critical theory perspective, seeking to understand the structures of meaning around the invisibility of women and their history. Among the results, the willingness of professors to include and transform their practices towards perspectives that promote inclusion and social justice stands out. However, they have different limitations, such as excessive workload, the tradition already present in teacher education programmes, and the rigidity of the hegemonic and patriarchal structures.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".