‘Baba, Take Us to Museum’: An Afghan refugee family’s engagement in language and literacy at the children’s museum
Bibliographic record
Abstract
Although there is a growing body of literature which focuses on museums’ role in supporting children’s literacy, there is also a need for studies to show ways in which museums can support refugee families’ literacy practices. In light of this gap, this qualitative study explores the role of a children’s museum in the literacy practices of a recent refugee Afghan-American family. Data consisted of interviews with the parents and children, conducted using Skype, over a period of two months. A media capture functionality method was used to receive photos from the family using a smartphone. In addition, the family sent audio-recorded interactions during activities that took place at the children’s museum. The recordings were sent through Whatsapp, a smartphone application that lets users’ text, send images, audio record and make calls for free. The findings demonstrated that the children’s museum played an important role in the Manzoor family’s literacy practices. The exhibits at the museum offered the family a site of multi-modalities, where images, sounds and words together contributed to meaning-making. Moreover, the museum provided the family with important resources, such as books and pamphlets on registering for schools. Lastly, the children’s museum provided a supportive environment for the Manzoor family to learn English and meaningfully engage with print literacy.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".