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Saving Niagara From Itself: The Campaign to Preserve and Enhance the American Falls, 1965-1975

2018· article· en· W2804513163 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironment and History · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfallCommissionContext (archaeology)Government (linguistics)TourismPolitical scienceBusinessHistoryLawArchaeology

Abstract

fetched live from OpenAlex

Abstract Between 1965 and 1975, the United States and Canada investigated whether they should preserve and enhance the American Falls, one of the two main cataracts at Niagara Falls, by physically reengineering it. This campaign had its roots in local concerns, but tapped into wider sentiments and emotions about the famous waterfall, and came to involve multiple levels of government and the International Joint Commission. Engineers looked at whether it was feasible to remove all the rock at the base of the American Falls - the talus - which led to the dewatering of the waterfall in 1969. Using a range of techniques, including public consultations, the transborder experts concluded that it was feasible to give the waterfall a facelift, and presented a range of engineered options. However, the International Joint Commission ultimately recommended that it would be best to refrain from an interventionist approach and mostly leave the American Falls alone. Employing envirotech and emotional history approaches, this paper argues that over the course of a decade the meaning of 'preservation' in the context of Niagara Falls significantly shifted because of several factors: the emerging environmental movement, the cost of removing the talus and other alterations, evidence that the public wouldn't sufficiently appreciate these changes, and worries about tourism impacts.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
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 studies0.0010.008
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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