Serendipity in the Theater: Maude Adams as James M. Barrie's American Muse
Bibliographic record
Abstract
ABSTRACT A special niche in theatre history is addressed to begin to fill a void in the contemporary creativity literature. The present essay focuses on Maude Adams and James M. Barrie in an attempt to demonstrate that, serendipitously, Adams initially impacted Barrie's creative process, and thereafter became his platonic source of inspiration for the plays he created for her, meriting the belated title of muse. Set change theory is underscored as a plausible cognitive explanation for Barrie's illumination. The psychoanalytic theory of transference is proposed as an underlying mechanism for facilitating the change of mental set during the incubation stage. A brief discussion on a selective theoretical integration from the fields of cognitive psychology, psychoanalysis, and neuroscience is followed by conclusions.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".