Noah Webster and the standardization of sound
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
Early American writers believed that what they understood as “standard” English was necessary for the functioning and maintenance of the newly established nation. As a result, “standard” English was placed upon a metaphorical pedestal that “accent,” whether regional (within the nation) or foreign, threatened to knock over. This chapter examines Noah Webster’s project to standardize speech, particularly his call for pronunciation based on a “principle of analogy.” The chapter also examines the obstacles Webster faced during his mission to develop a national language, which included overcoming regional vocal differences and halting what he perceived as the corruptive influence of foreign languages. After reviewing scholarship on the history of American English as well as scholarship on Webster’s work, I argue that Webster wanted to standardize not only spelling but also, and more importantly, the sounds associated with the letters of the English alphabet. If, according to Webster, Americans could overcome the desire to imitate “corrupt” English and foreign models of the pronunciation of various sounds attached to letters, then a standardized pronunciation could be achieved.
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 | 0.001 |
| 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 | 0.000 |
| 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