Creating identity texts with young children across culturally and linguistically diverse contexts
Bibliographic record
Abstract
This article addresses the ways young children in culturally and linguistically diverse settings were involved in the meaningful development of identity texts in the form of personalized books. In the study, Canadian and Tanzanian children aged 4 to 6 shared their favorite learning experiences and spaces at school through their use of multiple modes. A multimodal approach to data sharing was then implemented through the co-creation of three dual-language books in English and Kiswahili. The books featured the research participants’ images, drawings, paintings, and photographs, and included verbal descriptions of their multimodal texts in their distinct geographical and cultural contexts. The children in both settings were involved in the book-making process by sharing their views on what images and descriptions they wanted to include in the identity texts that were then shared with both groups of children, their teachers, and their families. This approach to research and data dissemination with children draws on the United Nations Convention on the Rights of the Child which views children as strong, capable, and knowledgeable. This perspective also recognizes the rights of children to participate in decision-making processes in research in which they are involved, and to be empowered to communicate their own views.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".