Forgiveness among Ghanaian children and early adolescents in the context of <scp>peer‐to‐peer</scp> dyads
Bibliographic record
Abstract
Abstract How children experience forgiveness within peer relationships is unknown among children in West Africa. In this study, we sought to understand the contributing factors and influences of forgiveness among children in Ghana for peer‐to‐peer offenses. We conducted a qualitative study on 25 participants (between the ages of 12 and 15 years) in Accra, Ghana. Thematic analysis was utilized to identify themes from semi‐structured interview transcripts. Unique themes centered around the perception that forgiveness ensures relationship continuation, and that a major source of learning about forgiveness is via a religious institution. Despite a common theme that an offense undermines trust in a relationship, most participants perceived that forgiveness was the preferred option for handling the offense. Results suggest that early adolescents can benefit by learning the skill of forgiveness.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".