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Record W4417192635 · doi:10.25130/lang.9.2.8

Whispers of the Past: Examining the Role of Memory and Ghostly Presence in Nilo Cruz's Sotto Voce

2025· article· W4417192635 on OpenAlexaboutno aff
Maysoon Taher Muhi

Bibliographic record

VenueJOURNAL OF LANGUAGE STUDIES · 2025
Typearticle
Language
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsGriefPersecutionNarrativeContemplationCultural memoryRefugeeTragedy (event)The Holocaust

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.339
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJOURNAL OF LANGUAGE STUDIESSame topicMemory, Trauma, and CommemorationFrench-language works237,207