‘Un futuro mejor para todos’: Towards a critical humanizing English language teaching
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During more than 50 years of socio-political unrest in Colombia, extreme violence has profoundly affected marginalized students in public schools. Although these topics have been mainly addressed by history and social studies teachers, English language teaching (ELT) has paid little attention to addressing issues of social injustice in the class. To fill this gap, this critical ethnography looks at how a social justice curriculum has been used in ELT classes to empower students to learn skills that allow them to discuss the violence that occurs both inside and outside of the school environment. The fieldwork was carried out in a public high school for eight months, in Bogotá (the capital of the country) with three English teachers and their young students. Data was collected through focus groups, interviews and classroom observations and then analysed using thematic analysis. The findings of the study revealed that the activities suggested by the teachers proposed a change in teaching pedagogies toward solving social problems in students’ communities. The findings further suggest that a negotiated curriculum with the students fosters a critical humanizing pedagogy that promotes social cohesion, and as a consequence improves language learning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 it