<i>And While I Have Been Lying Here Perfectly Still: The Saskia Olde Wolbers Files</i> by Philip Monk. Art Gallery of York University, Toronto, Canada, 2009. 136 pp., illus. Paper. ISBN: 978-0-92-197253-2
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
June 01 2010 And While I Have Been Lying Here Perfectly Still: The Saskia Olde Wolbers Files by Philip Monk. Art Gallery of York University, Toronto, Canada, 2009. 136 pp., illus. Paper. ISBN: 978-0-92-197253-2 Rob Harle Rob Harle Search for other works by this author on: This Site Google Scholar Author and Article Information Rob Harle Online ISSN: 1530-9282 Print ISSN: 0024-094X © 2010 ISAST2010 Leonardo (2010) 43 (3): 300. https://doi.org/10.1162/leon.2010.43.3.300 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn Email Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Rob Harle; And While I Have Been Lying Here Perfectly Still: The Saskia Olde Wolbers Files by Philip Monk. Art Gallery of York University, Toronto, Canada, 2009. 136 pp., illus. Paper. ISBN: 978-0-92-197253-2. Leonardo 2010; 43 (3): 300. doi: https://doi.org/10.1162/leon.2010.43.3.300 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. © 2010 ISAST2010 Article PDF first page preview Close Modal You do not currently have access to this content.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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