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Record W7138304690 · doi:10.1080/02722011.2025.2598514

A Tale of Two Dams: Debating Hydroelectricity on the International St. John River, 1953–1968

2025· article· en· W7138304690 on OpenAlexafffundabout
James L. Kenny

Bibliographic record

VenueThe American Review of Canadian Studies · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsRoyal Military College of Canada
FundersCanadian Defence Academy
KeywordsHydroelectricityGovernment (linguistics)

Abstract

fetched live from OpenAlex

During the period 1953–1968, Canadian and American officials planned the full development of the international St. John River, including large, publicly operated dams in northern Maine linked with tidal power and smaller hydro operations downriver at Mactaquac, New Brunswick. In doing so, planners conceptualized the river as a cross-border power source linked by a regional power grid. This article examines the concurrent controversies over dams in both jurisdictions and why, in the end, only Mactaquac was built. Opposition was most effective in Maine because of lobbying by federal agencies, local and national wilderness organizations, private paper companies, and, most importantly, private power companies. In contrast, New Brunswick’s electrical sector was dominated by a single public power utility that enjoyed great leeway in pursuing development. Moreover, while Mactaquac’s opponents emphasized environmental and aesthetic concerns similar to their Maine counterparts, they did not have the same national or corporate support.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0090.017
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.270
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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