Materiality and aural memory in the<i>Harbour Symphony</i>(St. John’s, Newfoundland)
Bibliographic record
Abstract
The Harbour Symphony is a collection of site-specific works composed for, and performed within, the soundscape and landscape of the St. John’s harbour. The Harbour Symphony is a creative endeavor intended to unite city and environment, people and their community in an awareness that harbour sounds and the acoustic environment constitute a part of St. John’s heritage – one that should be valued, attended to, and preserved. Since its inception, numerous composers have created works that interpret the soundscape and landscape of St. John’s harbour, particularly the distinct soundmarks of the tugboats, trawlers, and ocean freighters, positioning the city as a unique physical, cultural, and sonic site. This article addresses how the Harbour Symphony exploits the geographies of place and engenders an awareness of the local soundscape through contextual change. Ethnographic voices and aural histories detailing performance experience express the meanings embedded in sound and the power and place of memory. Grounded in ethnographic research, this article argues for an understanding of the shifting roles of everyday sounds and musicalized mechanical sound. The composers who contribute Harbour Symphonies are collectively concerned with issues of sonic experimentalism, the health and value of the acoustic environment, and the spatial- and temporal-contingent characteristics of environmental sound. This article engages with the compositional re-contextualization of industrial sounds and their technologies, and questions how place and soundscape impact and are inscribed in modern cultural expressions and comment upon shifting environments.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".