paisagens sonoras em contexto artístico
Bibliographic record
Abstract
Listening the Underworld: Soundscapes in the artistic context, is divided into two experimental audiovisual installations with special focus on medium sound. Undercurrent and Inland are two immersive installations that demonstrate, each in its own way, through different narrative possibilities of realistic features, subjective and metaphorical sound. Both installations fall within the concept of Soundscape theorized by the Canadian composer R. Murray Schaffer. Shuffling the hierarchy of the senses, responds to cases submitted, outlining several possible paths in their diffusion in the contour image itself and effective demonstration of the potential of this medium in its pure state, when processed and spatialized. To culminate in what is the fundamental focus of the dissertation, unravel the processes contained in the specificity of field recordings when applied to contemporary installation and sound performance, i use several literary references as Whitman, Thoreau, Bachelard, Mumford and Le Breton and others more specific in the art field as R. Murray Schafer, Douglas Khan, Rob Young, Richard Serra or Alvin Lucier. Always in the territory of sound as place in the art I approach to the main protagonists of the twentieth century avant-garde such as Luigi Russolo, Max Neuhaus or John Cage; experimental music in the twenty-first century transition and finally the field recording artists such as Chris Watson, Peter Cusack or Jacob Kierkegaard, who like previous explorers, go wandering and alternating positions between academy, the gallery, the stage and record editions.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".