Moving Toward Land-Based Sound Archiving and Composition: Reflecting on Field Research From the Project Sonic Coordinates: Decolonizing Through Land-Based Composition
Bibliographic record
Abstract
This paper examines the intersection of environmental sound recording, sound collection, and archiving by drawing on Land-based approaches, Indigenous epistemologies, and methodologies. In particular, this paper considers some of the implications for immersive sound-based fieldwork informed by site-specific listening methods, embodied learning and forms of reflexivity that are rooted in Indigenous concepts of relationality (kinship). Specifically, this paper revolves around an initial field research trip from our project Sonic Coordinates: Decolonizing through Land-based music composition (supported by the New Frontiers Research Fund) which took place in the region of Timiskaming (Northern Ontario, Canada) during the fall of 2019. Consequently, our paper examines what was learned through this process, and how critical listening and recording/collection of environmental sounds can be used to inform Indigenous sound/music composition and aural forms of storying. This paper ultimately explores the ephemeral concepts of sound materiality and how aural archiving and documentation (through digitizing and digital platforms) is used to preserve and engage historical memory, cultural knowledge and shifts toward the development of sonic art and communication that is informed by site-specific research practice.
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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 | 0.022 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".