Bibliographic record
Abstract
Shaw subtitled Pygmalion as “A Romance in Five Acts” and the central theme is undoubtedly romantic. But as the play evolves, one notices that its romance is more social and spiritual than sexual. In the play, the education of Eliza in phonetics, her new environment and her training in middle-class manners and morality transform her from a flower girl to a duchess, which Higgins intended to make her. Higgins had picked her up as a guttersnipe girl and even when phonetics had refined her speech and improved her personal impression, he continued to treat her as a low-class flower girl. Driven by life force, this indifference is unacceptable to Eliza and in the absence of emotional fulfilment, she decides to marry Freddy. The “squashed cabbage leaf” becomes, as Higgins puts it, “consort battleship” as Eliza is fully human and engages with Higgins in warfare of wills. Higgins was a book-learned gentleman, a confirmed old bachelor and had no other passion in life than the study of the language of Shakespeare and Milton. Shaw's Pygmalion differs from the classical tale because Higgins harbours a degree of misogyny and that does not go out even when he has created an ideal in Eliza.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".