Introduction to the Special Issue: Québec Hydropower for a Green Massachusetts? Connections, Contradictions, and Contests of Renewable Energy
Bibliographic record
Abstract
This essay introduces the special issue. The issue connects a serious policy effort to increase renewable electricity in a densely populated economic region, Massachusetts, to the environmental and social changes and political conflicts in more remote rural regions where the necessary infrastructure must be built. Readers are oriented to Hydro-Québec's current major hydropower construction project on the Romaine River, in the territory of the Innu First Nation, a river the Innu call the UnamenShipu. The seven articles follow geographically from electric policymaking in Massachusetts to transmission infrastructure proposals first in New Hampshire and then in Maine, to the Romaine UnamenShipu River in Québec. Collectively the articles provide broader theoretical and practical insight, showing that connections, contradictions, and contests--spatial and material linkages, political economies and political ecologies, and divided political geographies--are inherent in the use of large-scale renewable electricity from remote locations as a route to climate mitigation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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".