Myth ascendant: issues of culture, media, and identity in the celebrity career of Glenn Gould
Bibliographic record
Abstract
This thesis applies a sociological framework to the North American celebrity career of Canadian pianist and broadcaster Glenn Gould (1932-1982) to account for Gould’s iconic status as an artist in modern musical culture. Despite the persistent cultural fascination with Gould, as evidenced in the seemingly endless supply of biographies, films, novels, and fan texts which narrate and celebrate his life and work, modern Gould scholarship has consistently neglected issues relating to his artistic reception. This thesis proposes that the modern Gould phenomenon is productively analysed in terms of the contexts of its historical production in North America, where it first originated. Focusing on the circumstances of Gould’s career during his lifetime, it identifies three areas of overlapping conceptual interest that provide the basis for an explanatory account of his modern mythology: i) Gould's relationship to the culture of his time, particularly in Canada; ii) Gould’s relationship to the mass media; iii) Gould's relationship to his own artistic identity. This approach is refined through the application of Stuart Hall’s 'Circuit of Culture' model, which yields an understanding of Gould's celebrity in terms of the processes of its representation, production, regulation, and consumption. Against this theoretical backdrop, and consistent with the premise of my thesis, I ask some key questions: what was Gould's relationship to Canadian cultural nationalism and, specifically, a nationalist discourse of public broadcasting? How did media institutions brand his image, and for what commercial purposes? How did Gould mobilise understandings of his genius and Canadian identity through his artistic discourse and experimental media self-representations as a 'Northerner' and a technologist? Based on this analysis, the thesis concludes that Gould continues to fascinate because of the unique ideological work performed by his cultural identities, and because of the highly mediated nature of his celebrity. The ubiquity of his image on video-sharing websites and social media platforms is a vindication of his radical belief in the validity of a musical career pursued primarily through the electronic media.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".