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Record W2805175845

A Comparison of the Development of the Salt Industries in Michigan and Ontario

2018· article· en· W2805175845 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

VenueHuman Biology · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness
DOInot available

Abstract

fetched live from OpenAlex

“A Comparison of the Development of the Salt Industries in Michigan and Ontario” examines the development of the salt production industry in these two sub-national regions. They derive salt from the same deposit and historically have used very similar methods of mineral extraction, but due to the political differences between the United States and Canada, the trajectories of their growth have been different. The salt industry, which coalesced in the middle of the 19th century, was heavily impacted by the growing forces of capitalism and protectionism (particularly directed by the American interests toward the Canadian manufacturers), and by the impediments of international trade. Salt production in the North American Great Lakes region was also dependent for survival on other industries – first on lumber manufacturing, then on chemical production. However, as underground rock salt mines were created in the 20th century, the economic situations in both countries allowed salt production to become independent for the first time. Although the U.S. industry nearly drove Canadian salt out of business in the late 19th century, in the second half of the 20th century, the mine in Goderich, Ontario, outperformed the mine in Detroit, Michigan, contributing to the greater awareness of the industry in Ontario than in Michigan. The similar but differing paths of these two industries give an informative picture of the ways political boundaries can influence economic development.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.998

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 studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.260
Teacher spread0.226 · 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