Finding Home: A Walk, a Meditation, a Memoir, a Collage
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
The author loves Toronto, where she has lived for more than three decades. Two of those she has resided in an apartment on the west side of town--close to the University of Toronto and the Ontario College of Art and Design (OCAD), to the parks and pathways that connect her living and working sites with those institutions and her other haunts. What thrills her most about this city? Its diverse peoples, half of whom were born outside Canada. Its neighbourhoods. Its walkability. Its ravines. When a person loves something as much as she does Toronto, then he or she makes artwork about it. In her practice, art making requires a devoted and voracious accumulation of ideas and options, followed by ruthlessly selective editing, a kind of delicate dissection--this paradoxical form of engagement somehow both bonds a person to his or her subject and holds it at arm's length. And so motivated by love, curiosity and a kind of anticipatory nostalgia the author explains in this article, she created "Finding Home," a body of interwoven visual art and text about her home neighbourhood around Bathurst and St. Clair. This article reflects on the making of "Finding Home" and includes portions of it. (Contains 22 notes.)
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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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