Citizenship Education and Embodied ways of Knowing: What can be learned from the voices of Ghanaian youth in schooling and education?
Bibliographic record
Abstract
This article examines Ghanaian youth voices about issues of personal and moral character development through the teachings of local embodied ways of knowing and how such ways of knowing further inform our understanding of discipline and the socialization of Ghanaian youth to become responsible citizens. We briefly explore the theoretical and methodological underpinnings of researching moral character development, the question of discipline and the relations to youth and citizenship responsibilities through youth voices. We argue youth voices show complex understandings of embodied ways of knowing relating to questions of citizenry, discipline, character, moral, and respect. The paper hence offers insights toward reforms needed in educational delivery (teaching, learning and instruction), as well as values of education to address the question of youth voice, decolonization, discipline, and embodied ways of knowing, so as to enhance the possibilities of coming to know citizenry, character, moral and community.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".