Sound the alarm!: Disrupting sonic resonances of an elementary English language arts classroom
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
Classrooms are host to complex sonic ecologies informed by ritualized patterns and routines, but there remains a dearth of scholarship studying everyday sounds of schooling. Such research is important because it can amplify in new ways how children’s identities are constructed and thickened over time. This interpretive case study takes up the question as it interrogates sound’s capacity to inform children’s identities in a resource-limited, public elementary school in the Midwestern United States. Specifically, this inquiry explored in what ways sonic experiences might (re)produce and/or thicken (systemic) identities and positionings for children. Using critical positioning theories, the author details how sonic (re)occurrences informed children’s abilities to know, to be, and to be known in their classroom community. Through listening to the ambient experiences of everyday classrooms, the findings from this study showcase, new possibilities for exploring children’s identities and positionings. Through the storied experiences of two boys—acoustically described and analyzed—the author challenges critical early childhood researchers and educators to hear, perhaps for the first time, “unheard” everyday sounds like the alarm and consider the multiple ways such sounds resonate in classrooms.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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