Family Communication: Insights from Paternal Involvement in Child Development in a Kano Step Family, Nigeria
Bibliographic record
Abstract
The role of fathers in a family goes beyond the provision of financial support. Paternal involvement is vital in shaping the overall well being of children. Interpersonal communication between father and child determines the strength of the relationship that emerges in a father-child interaction. When communication is non-verbal what do we expect the father-child relationship to be? This paper examines non-verbal communication in a step-family where a father wrote some letters to his child, the author of this paper. The primary objective of the paper is to determine the impact of those letters on the child’s character. Descriptive design with content analysis and systematic sampling procedures were used. Multi-method instrumentation was used to collect primary data. Secondary data were collected from published and electronic sources. Qualitative data analysis techniques were employed. The paper’s main conclusion is that the father’s letters did narrow the gap in the father-child face-to-face relationship. The paper recommends, among others, that fathers in a step-family should use letters to moderate the effect of “stepmother-factor” in interacting with their children.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".