A Collaborative Journey Toward Understanding the Role of Social Class in Teaching and Learning
Bibliographic record
Abstract
One important area of development for educators at all levels is teaching students from diverse backgrounds, which includes attention to the important role of social class. In this reflective essay, two teacher educators and four students (two graduate, two undergraduate) examine the aspects of a course on social class and schooling that they perceive to have influenced favorable change in their learning and practice. Individual writings by the six participants at three checkpoints during and after the course generated four themes that the authors discuss in relation to the course content and pedagogy: salient content; effective instructional approaches; application of course material; and suggested improvements. Factors that contributed to course effectiveness included a focus on deep growth involving knowledge and dispositions; instructional methods that encouraged meaningful participant engagement and reflection in a “safe” classroom environment; and practical applications for course material. Suggested improvements centered on including direct engagement experiences and exploring individual course topics in greater depth.
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How this classification was reachedexpand
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".