Treasured Memories: Thinking with Things
Bibliographic record
Abstract
This curatorial thesis, Treasured Memories: Thinking with Things, examines the power of biographical objects, those everyday things in our possession that anchor memory, to provoke new ideas about our relationships with others and ourselves. The five artists featured in the exhibition: Jasmine Cardenas, Renèe Hayward, Sara Angelucci, Vanessa Hussey, and Sarah Malekzadeh, express themselves through personal belongings; all of their artworks visualize the importance of personal and family possessions and explore the associated memories and stories those biographical objects tell when presented in a gallery setting. \nTreasured Memories also includes an online project Mementos: Ordinary Objects of Extraordinary Circumstance (www.mementosproject.ca) where Torontonians were invited to go online and share a story about their personal possession. All summited stories were displayed during the exhibition and the viewers also had a chance to participate by writing a brief label describing their object and the story attached to it.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".