Kincentric Ecopoetics: Sympoietic Place-Based Ecopoetry in Montreal’s Old Port
Bibliographic record
Abstract
This research-creation project considers how the creation of sympoietic place-based ecopoetry can help nurture kincentric relationships with non-human and more-than-human beings in Montreal’s Old Port. The sympoietic place-based ecopoems that I wrote throughout this process—wayward (45.501506, -73.552840), wildfire season (45.511746, -73.546049), and rivered (45.499305, -73.552108 & 45.497048, -73.551593)—call my human relationship with place into question and articulate the loss and destruction of the St. Lawrence waterway and their multispecies relationships. I undertook this research in response to the overwhelming pollution of the St. Lawrence waterway and out of a desire to spend time listening to and being with the waterway. My research-creation process involved taking fieldnotes at four sites within the Old Port and actualizing Robin Wall Kimmerer’s grammar of animacy through their translation/transformation into sympoietic place-based ecopoems.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".