Larson, Katherine, Scott A. Trudell, Sarah F. Williams, PIs. Early Modern Songscapes: English Ayres and Their Dynamic Acoustic Environments
Bibliographic record
Abstract
The website Early Modern Songscapes: English Ayres and Their Dynamic Acoustic Environments maps the methodology and makes available the results of a project of the same name on sixteenth-and seventeenth-century English song, directed by Katherine Larson (University of Toronto), Scott Trudell (University of Maryland), and Sarah Williams (University of South Carolina).A series of drop-down menus, tabs, and clickable words available on the home page give the visitor access to the material.The section titled "Project Description" in the drop-down menu under "About the Project" is the first one the visitor should engage with, as it does an excellent job at presenting the rationale of the project as a whole and its focus on "ayres, " whose specific characteristics and significance are clearly set out.In fact, the home page itself, while visually pleasing, does not contain much information, and most of the introductory material is tucked away and only reachable through menus and links that the as-yet-unacquainted visitor needs to find their way through.The organization of the home page could be rethought to offer more immediate access to preliminary material, and an overview or map of the website would help the user to understand where to find what.The material accessible through the "How to use the resource" link could also be brought to the forefront.The website-currently in beta version-is mostly dedicated to the works of Henry Lawes, who has been selected as the project's case study, but frequent mention of a next phase of the project-to analyze ayres associated with Shakespeare's plays-suggests that this website will be updated in the future to include further explorations of this topic and additional audio and visual materials.The methodology behind the subdivision of this project into independent but also interlinked stages is explained convincingly, and the website-while working perfectly adequately as a standalone-is already intentionally organized in a flexible way that lends itself well to future changes, upgrades, and additions of material: extensive structural changes won't be needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.038 | 0.018 |
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".