The Art of Curation: Searching for Global Shakespeares in the Digital Archives
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
Scholarly sites devoted to global Shakespeare are strictly curated, usually by one or two persons with impeccable credentials. By contrast, YouTube, as the quintessential crowd-sourced and user-structured video archive, depends on individual contributions for its raw material, and on a combination of imitation, dialogue, and a complicated computer algorithm to establish relationships among the videos. This essay considers how differences in curation and context between these two kinds of archives might affect the understanding and reception of global Shakespeares. The paper compares cognitive and intellectual strategies brought to bear in the YouTube environment with the more structured methods of curating and providing intellectual paratexts in three sample scholarly archives: Bardbox, CASP (Canadian Adaptations of Shakespeare Project; and the Global Shakespeares Video & Performance Archive (MIT).
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 | 0.001 | 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 | 0.001 | 0.000 |
| 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 it