Accent Identification in RP, CE, and GA By Native and Non-Native English Speakers
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
This study was conducted in order to determine various groups’ accuracy in identifying three major standard English accents. The main purpose of the experiment that was performed was to determine how well speakers familiar with these accents could tell them apart from other accents. It focused on comparing the test subjects’ recognition of Canadian English pronunciation with General American pronunciations. Received Pronunciation was used as a control as it is generally considered to differ much more from the standard North American varieties than they differ from one another.Within North America, the 'standard' accents of Canada and the US are quite similar. So similar, that one of the experiment’s hypotheses is that that despite being identified by linguists as different, many native speakers of the two dialects would have difficulty telling the difference themselves. The differences in the features of Canadian English (CE) and General American (GA) have been identified and studied by linguists before, but what this experiment sought to determine was the degree to which speakers of these dialects could tell them apart purely through listening.Canada is given some degree of stigma from the United States for its dialect, and has had fun poked at it for such Canadianisms as the use of 'eh?' and Canadian Raising- Americans will exaggerate the difference when illustrating it, saying “aboot” [ə'but] for about [əˈbʌʊt]. But how well can they perceive the difference when not already informed about the speaker's origins?An online survey was prepared, with audio clips or words in isolation and sentences, spoken by speakers of GA, CE, and RP, specifically using words that exhibited features that vary between the accents. This allowed us to examine subjects’ degree of recognition with, and without prosody, and to analyze the degree to which prosody affects accent recognition. In order to better determine how prior exposure influences accent recognition, the subjects were broken down into three groups: Native speakers of Canadian English, native speakers of American English and ESL speakers who had had prior exposure to Canadian English.One of the main findings of this experiment is that more than 80% of American respondents recognized their own national standard accent, and around 67% recognized the Canadian accent; while only 62% of the Canadian respondents recognized the Canadian accent accurately. Compared to Canadians, Americans were better at telling the North American varieties of spoken English apart.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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