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Record W1540149261

Shakespeare, Madness, and Music: Scoring Insanity in Cinematic Adaptations (review)

2010· article· en· W1540149261 on OpenAlexaboutno aff
Julie Sanders

Bibliographic record

VenueMusic Sound and the Moving Image · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ScholarshipInsanityMusicalArtRepresentation (politics)LiteratureAestheticsVisual artsPsychologyHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

Kendra Preston LeonardShakespeare, Madness, and Music: Scoring Insanity in Cinematic Adaptations152pp. Toronto and Plymouth: Scarecrow Press, 2009Musical adaptations of Shakespeare have for some time been the poorer relation of the family in terms of receiving only limited attention from Shakespearean scholarship and even fewer focused publications. But with a number of cross-disciplinary interests in adaptation now fuelling interest in the 'Shakespearean brand', a number of more sustained academic responses to musical adaptations of Shakespeare's work are emerging in print. Kendra Preston Leonard's new study is a welcome contribution to the field, combining as it does an interest in film score, Shakespeare on screen, and the specific filter, as she determines it, of the representation of madness.In a helpful introductory chapter on 'Shakespeare, Madness, and Music', Leonard introduces her readers to the particular interest in madness that can be registered on the early modern stage as well as the 'wider canvas' to which madness referred when invoked by Shakespeare and his contemporaries. She makes cogent use of important studies by Carol Neely and others on this specific Early Modern dramatic context, and notes music's long association with madness and, in particular, with women characters in a state of mental breakdown. Noting that 'most cases of madness on the Early Modern stage involve women' (3), she considers the way in which recognisable popular tunes and folk songs were deployed by Shakespeare and others in association with these portrayals, harnessing familiarity as part of the reception process. In the process, she invokes David Lindley's important research in this area in his 2005 critical companion, Shakespeare and Music.Leonard credits silent film with severing the clear link between Ophelia's scenes of madness and the ballad tradition in productions of Hamlet. She then considers the mixed inheritance of sound films when directors such as Laurence Oliver turned to the Shakespearean repertoire in the 1940s. According to Leonard, Olivier's 1948 Hamlet is a watershed production as it marks the first time that 'Shakespearean madness' is 'accorded a fully symphonic treatment' (5). Although she examines this film in detail in later chapters (on Hamlet and Ophelia), it is here invoked as a working example of the accretive nature of Shakespearean adaptation, demonstrating how Shakespearean film adaptations in particular are 'laden with additional meaning and interpretation lacquered on by centuries of use and reuse' (5).The lens of madness proves a very apposite prism through which to view the work of the diverse grouping of composers who produced scores for those twentieth-century films that are subjected to close reading in this volume (the most recent work discussed is Billy Morrissette's Scotland PA from 2001). Chapter 2 on 'Hamlet' provides some fresh discussion of what might have seemed the by-now-familiar territory of film versions of Hamlet by Olivier, Grigori Kosintsev, Kenneth Branagh, Franco Zeffirelli, and Michael Almereyda. In a template that is repeated in each of the five case-study chapters of the volume, films are discussed in turn, usually in date order, framed by a more over-arching commentary on the history of the particular character in focus. In this chapter, for example, the performance legacies of Burbage and Garrick as the melancholic Danish prince are examined as shaping influences on twentieth-century interpretations. Leonard has an acute ear for historical transition, in music as much as in film and performance, and her structuring template works well enough. The detailed analysis of the functioning of the score through a whole film allows for genuine depth in the study of the musical dynamics of each, and their synergy, or otherwise, with the screen events and images - although by the later chapters on King Lear the structure has become somewhat repetitive. …

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.236
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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