Bibliographic record
Abstract
Fides Krucker is a singer of contemporary opera who specializes in extended vocal sound. For three decades, her passion has been interdisciplinary co-creation. Extended, or ‘expanded,’ voice is an effective mode of expression and communication. It can marry with theatrical forms in multiple ways. This article dips into (1) the work of the music-driven feminist collective URGE, (2) Krucker’s history in electroacoustic opera, (3) ‘vocalography’ for choreographer Jessica Runge, and (4) devised theatre at Humber College Theatre Performance. There is practicality, purpose, and economy to non-verbals—from groan, growl, and sigh through to scream, squeal, and shriek. This palette becomes the rough material for aesthetic shaping, and the sounds—often taboo and definitely stimulating—are emotion turned inside out. They affect the listener in biologically direct ways that are surprisingly spiritual. It requires training to develop a body of performers willing and able to go to these ‘improper’ vocal places. It takes an imagination that loves and understands these sounds to create compositions based on their loamy soil. This terrain is a fertile meeting ground for theatrical impulse to marry with the structural values of musical composition: dynamics, timbre, layering, motifs, range. Physical and devised theatre are a part of the Canadian performance landscape. Could vocally driven theatre create a robust avant-garde aesthetic capable of going beyond shouting to express the urgency of our times?
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.119 | 0.047 |
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".