From the Floodland: Countering Extraction, Remembering Relations in Eeyou Istchee
Bibliographic record
Abstract
In this article, I attend to two stories from the floodland of Eeyou Istchee/James Bay, where in the mid-2000s the massive infrastructure of Hydro-Québec’s Eastmain-Rupert project flooded a portion of Eeyouch ancestral lands, submerging Eeyouch grave sites and places of meaning and memory. Reading across literature and public art, and engaging with ghosts and other-than-human presences, I analyse two works rooted in Eeyouch territory and this shared event of colonial resource extraction. The novel Ourse bleue (2007) by Cree-Métis writer Virginia Pésémapéo Bordeleau and the large-scale sculpture Iiyiyiu-Iinuu (2008) by Cree artist Tim Whiskeychan conjure place-based connections to the departed that contend with the recent history of Hydro in Eeyou Istchee. Both pieces model a form of storying in the wake that refuses the smooth passage of Hydro over the dead and suggests that these are relationships to nourish in the present.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.028 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".