Understanding Childhoods in-between: Sudanese Refugee Children's Transition from Home to Preschool
Bibliographic record
Abstract
Canada receives over 30,000 refugees each year, approximately 10% of whom are under five years of age. While to varying degrees the factors influencing the experiences of adult refugees have been identified and researched, the experiences of young refugee children ‘living in-between’ has only recently begun to capture researchers' interest. This article considers what the experiences are of young refugee children in their day-to-day living between languages and cultures as they make a transition between home and Canadian early childhood settings. More specifically, the question addressed is: What roles do refugee children play in mediating the host culture for their parents in the hybrid place created by play? The authors propose that play in early childhood does serve, for refugees experiencing resettlement, as a site of cultural mediation, contestation, and identity negotiation. An analysis of three Sudanese refugee mothers and their four-year-old sons' use of common early childhood artefacts – wooden building blocks – is used to demonstrate how young refugee children who experience child care outside their home for the first time not only learn to ‘be a preschooler’, but learn to ‘interpret’ this role to their parents.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".