Who is Hussain? Exploring the lived experiences shaping the identity of an unaccompanied, undocumented, Afghan minor refugee
Bibliographic record
Abstract
This study investigates the lived experiences of one unaccompanied and undocumented Afghan refugee now living in Iran, who, through parental loss, displacement, and the conditions of war, was compelled to function as an independent human being since the age of 6, and who experienced further trauma and hardships on into his adolescence and young adulthood. This research documents significant "turning points" that occurred for this participant during his pre-, mid-, and post-refuge journeys and which have contributed to shaping his identity. Nine major themes emerged in conjunction with these turning points, highlighting that a person can develop quite fully while not having opportunities for "formal education". He though learned deeply through "non-formal" and "informal" means, that is, by learning through experience. The researcher, who is from Iran, with a similar culture and background to Afghanistan, emigrated to Canada under very different circumstances. She utilized a method of thematic analysis to distinguish the dimensions and depth of the participant’s lived experiences. These themes include: 1) Loss of a Parent; 2) Independence; 3) Ethnic Discrimination; 4) Distrust; 5) Zoor (external forces exerted on one's sense of identity and character); 6) Collectivity; 7) Silence and Distractions; 8) Hardship and Traumatic experiences in Childhood and Adolescence; and 9) Bazigooshihaye Koodakane (Childhood Playfulness). The commonalities and differences between participant and researcher served to compel the researcher to reflect on these themes in light of her own experiences, and to rethink and re-examine notions of " refugeeness” and "education” in particular. The theoretical and practical contributions of this research emphasize that small-scale and localized action such as this form of research, can help understand and address the existential challenges that young refugees face. Additionally, this research offers guidance to others who may seek to engage with people who have the experience of being refugees. To conduct research in this area is to attempt to grasp a deep understanding of refugees’ lived experiences by taking a shared journey of seeking meaning through their stories.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.017 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".