The Impact of Social Class on Speech and Speech Inventiveness in George Bernard Shaw’s Pygmalion
Bibliographic record
Abstract
The paper analyses the impact of social class on speech and further magical transformation of speech, which refers here speech inventiveness. Pygmalion, which was written by Bernard Shaw and is considered to be one of the most well-known works of contemporary British theater, exploits verbal violence in the guise of common language in order to impose authority over persons who are illiterate. Professor Higgins constantly mistreats the lower class flower girl Liza (Eliza) in the play, but as a result of the phonetic teachings she receives from her, Liza finally goes through a significant social transformation. Liza gains social standing as a consequence of her phonetic education and subsequent language skill improvement, but she also feels alienated because she has left her class as a result of the knowledge she has learned and is not fully welcomed by a different class. To put it another way, Liza's education in phonetics helped her to conform to society and do so, but it did not materially improve her social status.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".