“The One Who Carries the Light Bulb”: Poetry as a Content-Based Strategy for Supporting English Language Learners in Toronto Elementary Schools
Bibliographic record
Abstract
“Everybody has their own idea of what’s a poet. Robert Frost, President Johnson, T.S. Eliot, Rudolf Valentino - they’re all poets. I like to think of myself as the one who carries the light bulb.” \nBob Dylan \nContrary to popular belief, research has shown that a wide vocabulary of English words, a well-developed knowledge of English grammar and syntax, and the ability to read and write English prose at a high level are not prerequisites for emerging bilingual students to be able to succeed at reading, writing, and analysing poetry in English. This study examines the data from interviews with two Toronto teachers who have incorporated poetry and music into their teaching practice in ways that are helping the ELLs in their classes bridge the gap between their content knowledge in their L1s and their developing proficiency in English as a second language. The study examined student and teacher identities and attitudes toward poetry and found that students are often more likely to be comfortable engaging with poetry activities in the classroom when these activities are tied to their cultural and linguistic identities in engaging and meaningful ways.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".