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Record W4385870238 · doi:10.59962/9780774826457

Negotiating a River

2014· book· en· W4385870238 on OpenAlexaboutno aff
Daniel Macfarlane

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationPolitical scienceLaw

Abstract

fetched live from OpenAlex

It was a megaproject half a century in the making -- a technological and engineering marvel that stands as one of the most ambitious borderlands undertakings ever embarked upon by two countries. The planning and building of the St. Lawrence Seaway and Power Project is one of the defining episodes in North American history. The project began with transnational negotiations that spanned two world wars and the formative years of the Cold War and included a failed attempt to construct an all-Canadian seaway, which was scuttled by US national security fears. Once an agreement was reached, the massive engineering and construction operation began, as did the efforts to move people and infrastructure away from the thousands of acres of land that would soon be flooded. Negotiating a River looks at the profound impacts of this megaproject, from the complex diplomatic negotiations, political manoeuvring, and environmental diplomacy to the implications on national identities and transnational relations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.184
Teacher spread0.174 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations24
Published2014
Admission routes1
Has abstractyes

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