‘Water all around, you cannot even drink’: the scaling of water in James Bay/Eeyou Istchee
Bibliographic record
Abstract
Since the 1970s, the reconfiguration of the La Grande River into a hydroelectric complex has radically altered the James Bay region and brought about new scales of identification and exchanges between peoples and places. Through this process, water emerged as an increasingly globalized entity while at the same time being captured as a local icon of cultural identification both by the Eeyouch (Eastern James Bay Cree) and the Québécois. Using an historical and discursive approach, this paper explores the intersection between the rescaling of water and the rescaling of the nation for each community. The removal of the river from the traditional places of production of the Eeyouch to redirect it into electricity‐generating facilities that put every drop of water to work has dramatically changed the meaning of ‘here’ and ‘there’– as well as ‘us’ and ‘them’– for the Eeyouch and the Québécois, indicating that a theory of the differentiation and hierarchical organization of space needs to inform collaborative efforts toward environmental management in the region.
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 | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".