Bibliographic record
Abstract
In 2022, contemporary artists Adam Kinner and Christopher Willes approached Concordia University’s Webster Library with a proposal to have their performative artwork MANUAL hosted in the library under the auspices of the Offta Live Art Festival. The library served as a creative incubator and as an immersive platform for Kinner and Willes’s series of intimate, covert, and guided interactions with the public. After a successful run in the Webster Library, the artists continued to develop and present MANUAL in other libraries and festivals across Canada, the UK, Europe, and Asia. This lightning talk focuses on the initial development of MANUAL as a library-based, exploratory and sensorial artist’s project; how the project evolved over time; and how it navigates through library institutional frameworks. The presentation draws on an interview with Kinner and Willes and, to better understand how MANUAL was experienced by the public, it addresses a selection of published accounts written by individuals who took part in the performance in various libraries. It is also informed by an interview with the coordinator of MANUAL when it was held at the Birmingham Libraries in 2024.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.010 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.118 | 0.026 |
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".