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Record W7048999264

Nature's Past Episode 045: The St. Lawrence Seaway and Power Project

2014· other· en· W7048999264 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2014
Typeother
Languageen
FieldEngineering
TopicCalibration and Measurement Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Port (circuit theory)NegotiationInternational watersModernism (music)Environmental historyDiplomacy
DOInot available

Abstract

fetched live from OpenAlex

It cuts through the centre of the continent linking all of the Great Lakes to the Atlantic Ocean. Long the ambition of governments, industry, and continentalist visionaries, the St. Lawrence Seaway fulfilled the mid-century modernist dream of transforming the Great Lake cities of North America into international seaports. \n \nBetween 1954 and 1959, Canada and the United States jointly constructed a series of canals and locks to create a single navigable system from the port at Montreal through the Great Lakes. Building upon previous navigational improvements, including the various Welland Canals, the St. Lawrence Seaway opened for business in 1959. It was both an ecological and a diplomatic breakthrough. \n \nThe history of the seaway is one of tremendous Earth-moving high modernism and complicated international diplomacy. And Daniel Macfarlane’s new book, Negotiating a River: Canada, the US, and the Creation of the St. Lawrence Seaway, takes readers through the fascinating environmental and diplomatic history of the St. Lawrence Seaway. \n \nOn this episode of the podcast, we speak with Daniel Macfarlane about his new book on the history of the St. Lawrence seaway and power project.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.523
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.003
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0480.009

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 head0.007
GPT teacher head0.156
Teacher spread0.149 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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