Bibliographic record
Abstract
How do objects gather value and bear the weight of history? This research project addresses this question through research into an old wooden desk stored in the corner of an office at Queen’s University. It has six drawers coloured with a black cherry stain and decorative wooden handles. Adhered onto the desktop surface is a thin overlay of dark leather, to which is affixed a brass plaque that reads, "This desk was used by two famous Canadian artists, J.W. Beatty (1869-1941) and A.Y. Jackson (1882-1974). It was presented to Queen's University in 1980 by Dr. Naomi Jackson Groves, niece of A.Y. Jackson." J.W. Beatty and A.Y. Jackson were influential Canadian painters, whose stylistic focus on Canadian landscapes underpinned the formation of the Group of Seven; the desk was a non-sentient observer of their contributions to Canadian art and art history until 1968, when the desk left Jackson’s possession. Beyond the desk's immediate story, there is a larger research question: "how does the social biography of an object reveal the dynamics of its meaning, affect its value as a physical object, increase its significance in the art world, and determine where it is best preserved?" Using information uncovered during the summer of 2019, this presentation will reveal the importance of the desk’s provenance in relation to the stories of two influential Canadian artists, as well as share the process of investigating the biography of the desk through archival research methods.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.052 | 0.034 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".