Whispers of the Past: Examining the Role of Memory and Ghostly Presence in Nilo Cruz's Sotto Voce
Bibliographic record
Abstract
This paper investigates the role of memory and ghostly presence in the play Sotto Voce (2016) by Cuban-American playwright Nilo Cruz. Set against the historical tragedy of the 1939 voyage of the MS St. Louis, a ship that carried Jewish refugees fleeing Nazi persecution only to be denied entry to Cuba, the United States, and Canada, Cruz's play probes into the psychological and emotional consequences of this historical event. Sotto Voce explores the individual and shared recollections of its protagonists. It is centred on Bemadette Kahn, an old and reclusive writer haunted by her past. She is faced by Saquiel, a young Cuban-Jewish man who becomes like a reminder of the unforgotten old past. He is determined to reunite her with the memories of her lost lover, a passenger aboard the MS St. Louis. This interaction between the characters and the memories allows Cruz to skillfully intertwine the personal histories of the individuals with the larger historical story, evoking a profound and poignant contemplation on the lasting influence of historical events and demonstrating the layers of cultural memory that inform their experiences. Through the lens of cultural memory, Sotto Voce emerges as a profound commentary on how the past continues to resonate in the present, inviting audiences to reflect on their narratives of loss and remembrance and encouraging viewers to contemplate their own experiences of grief and commemoration.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.012 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".