Transforming Student Discipline: A Teacher’s Reflective Essay on Moving From Punishment to Compassion in Education
Bibliographic record
Abstract
In this reflective essay, I examine the impact of corporal punishment in Ghanaian schools by drawing on my experiences as both a victim and a former perpetrator of these practices. Through reflecting on the punitive discipline I endured and later enforced, I highlight the detrimental effects on students’ well-being, self-worth, and engagement in learning. Guided by Parker J. Palmer’s (1997, 2015) concept that “we teach who we are,” I point out the need for educators to embody compassion, empathy, and self-awareness. I also advocate for eliminating punitive discipline in favor of nurturing, supportive, and non-violent relationships that consider the broader socioeconomic and personal contexts influencing student behavior. By creating, sustaining, and promoting a caring, inclusive, and empowering school environment, I argue that teachers can address the cycle of fear and humiliation that stifles student engagement and instead create a space where students feel valued and motivated to develop their full potential.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.016 |
| Insufficient payload (model declined to judge) | 0.001 | 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".