A performance guide to Robert Lemay’s Ariana, Kaboul for alto saxophone and film
Bibliographic record
Abstract
Ariana, Kaboul by French-Canadian composer Robert Lemay is a musical composition for solo saxophone and optional film accompaniment written for Miguel Moràn in 2009. Memorializing victims of terrorism, Ariana, Kaboul allows the saxophonist to choose and/or create an optional accompanying film or “concert video” for the music. Whereas other compositions for saxophone and film have a concert video created by someone other than the performer beforehand, Lemay leaves this crucial facet of the presentation to the discretion of the saxophonist. This performance guide prepares saxophonists to approach Ariana, Kaboul from both musical and filmic perspectives. Brief overviews of Lemay’s biography, the creation of the composition, the history of cinema in Aghanistan, an interpretive analysis of the score, and technical and pedagogical considerations for performing extended musical techniques offer a comprehensive analysis of Ariana, Kaboul’s music. In regards to the accompanying concert video (chosen by the performer), this guide argues that tropes in film music serve as a basis for creating a film that is reflective of Lemay’s score. Additionally, it asserts that presenting Ariana, Kaboul with the accompanying film is an extension of silent film performance practices and relates those concepts to other variations of combined musical and visual mediums. Since the subjects of extended techniques for saxophone, film-scoring practices, film music scholarship in general, and silent film performance practices are too complex to address comprehensively, appendices for related readings are included.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.405 | 0.203 |
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".