Looking at archival sound: Enhancing the listening experience in a spoken word archive
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
What helps researchers listen in deep and engaged ways to poetry that is delivered on the Web? This paper considers how visual aspects of Web–based archives for poetry recordings can enhance the listening experience for users by providing more context and clarification that can help users better understand and use the recordings. Drawing from studies in a variety of disciplines that demonstrate that much of our learning is multimodal, the SpokenWeb project in Montreal, Canada is using digitized live recordings of a Montreal poetry reading series from 1965–1972 featuring performances by major North American poets to investigate the features that will be the most conducive to scholarly engagement with recorded poetry recitation and performance. Visual features such as tethering audio playback with a written transcript, sound visualization and including videos and images are discussed as means to enhance the listening experience in a digital spoken word archive.
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.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it