Walking Near Water: my relations with (through) land
Bibliographic record
Abstract
I am a metalsmith; an artist whose practice is grounded in materials and making, and on the generational connections of my Scots/English-Canadian family to the Tkaranto waterfront and the Wonscotonach1 and Cobechenonk2 watersheds. \n \nI am re-thinking my relations with these lands, using a research-creation methodology that walks between two rows: one of craft knowledge founded on European traditions of design and making, and one influenced by Indigenous ways of knowing that are rooted in this place. \n \nEach row reveres reciprocal knowledge-sharing that is embedded in materiality and community – cultures of making and visiting. With that in mind, I have re-framed autobiographical narratives of remembrance in works that combine metalsmithing techniques with materials gathered from local sites meaningful to me and my family. Through these works, I imagine new associations between the rows and reconfigured relationships with the land and water where I live with many others, human and non-human.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".