CHILDREN PERSONALITY DEVELOPMENT ON FAMILY DISRUPTION AS PORTRAYED IN RUKHSANA KHAN’S A NEW LIFE (2009)
Bibliographic record
Abstract
This research examines factors influencing children's personality development in A New Life, a novel by Rukhsana Khan published by Groundwood Books in 2009. The story explores children's experiences adapting to a new environment and how these challenges affect their personal growth within the family. The study applies Alfred Adler's personality theory, which includes key ideas such as feelings of inferiority, striving for superiority, social interest, and lifestyle. Using a qualitative descriptive method, this study analyzes the characters Hamza and Khadija by interpreting the factors shaping their personalities. The results of this research show that Hamza and Khadija's feelings of inferiority stem from difficulties in language and adjusting to a new culture, such as Hamza feeling undervalued by his classmates. Hamza's efforts to prove his abilities demonstrate his striving for superiority, although these actions sometimes have negative consequences. Social interest is reflected in moments of empathy, like when Khadija recognizes the difficulties her friend is facing. Hamza and Khadija's lifestyle is also shown through the moment when they are new in Canada, which has a different culture and environment from Pakistan. The study also emphasizes the role of parents in giving emotional support and encouraging a positive mindset, showing that a combination of internal and external factors shapes a child's personality.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".