Analyzing the talking book Imagine a world: A multimodal approach to English language learning in a multilingual context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In recent years there has been increased academic and professional interest and awareness in approaches to English language teaching (ELT) that take a plurilingual approach. This is often combined with a multimodal stance. The outcome of this combination is an approach to English language teaching that integrates multiple languages and multiple semiotic resources. This paper examines how a plurilingual approach to ELT can be viewed through a multimodal lens by analyzing the construction of a plurilingual talking book created as a student project in an elementary public school. The analysis uses multimodal analysis software to map the interaction of languages and images, in order to determine how these function as meaning-making resources in a multimodal, multiple-language text created by linguistically diverse students with high ELT needs. The findings indicate how combinations of different semiotic resources work together to create meaning, delineates the role of English in meaning-making, and illustrates the children’s multilingual interactions in the creation of their collaboratively composed multimodal talking book.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it