Performing Trauma in Privileged Spaces: Empowering Turkish Women's Voices of the Past
Bibliographic record
Abstract
Ağ Elime Mor Kınalar Yaktılar', ('They Put Red Henna on My Hands') is a well-known twentieth century Turkish folk song, portraying the voice of a young girl forced to be married against her will.It is mainly performed at a women's henna night ritual that occurs at the home of a bride's parents before the wedding ceremony.This rite of passage is symbolic of the transition into womanhood, with the loss of virginity and the song acts as a warning to the trials and tribulations of marital woes that reside in the collective memory of Turkish women.As a Turkish female composer, choosing to perform this piece outside of the Turkish community, I bring the role of women as important tradition bearers to the forefront and also contribute to raising awareness of the global issue of child marriage.By performing this piece in the privileged spaces of academia, I give voice to underprivileged traditional folk singers of the past who were also survivors of childhood trauma.This chapter reflects upon my leadership role as a female performer/researcher, engaging with this challenging subject in an intercultural context.I discuss my position as leader of the collaborative and exploratory creative process with North American instrumentalists whereby the emotional and musical elements of the piece are intertwined, mirroring its sadness using the Hüseyni mode with descending glissandos and tremolos.I analyze the function of the piece within this new performance space from historical, musicological, and social perspectives.Finally, I also examine different participatory roles of women past and present as the creators of the music, based on multi-cultural contexts of the university and communities in Calgary (Alberta, Canada).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".