“I've got to do this in a Southern”: Stylized spoken literary quotation in the ELA classroom
Bibliographic record
Abstract
Abstract This article investigates whole‐class discussions of literature in the English classroom and the pragmatics of teacher interpretation in and through the voices of characters. In particular, it focuses on the whole‐class oral reading and discussion of the Tennessee Williams' play A Streetcar Named Desire in an ethnically and linguistically diverse rural Canadian classroom, and the teacher's stylized “Southern” oral performances of significant characters as part of her responses to student answers in whole‐class talk. Using extensive audio data from a 12th‐grade English class and drawing from the analytic tools of the linguistic anthropology of education, this article raises questions of the potential functions of stylized characters' voices in literary critical talk. This research contributes to ongoing conversations regarding the pragmatics of voicing, stylization, and the intersections of teacher talk and literacy learning in classroom discourse, with specific attention to the pedagogic work of enregistering bundles of linguistic features with particular teacher‐driven interpretive perspectives on literary characters.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".