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Record W7033845220

The 1900s Southwestern Ontario Sand Sucker Panic

2023· article· en· W7033845220 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

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsnot available
Fundersnot available
KeywordsDredgingShoreThreatened speciesErosionSand miningBeach nourishmentCoastal erosion
DOInot available

Abstract

fetched live from OpenAlex

During the early twentieth century, waterbed aggregate mining in the Great Lakes supplied sand and gravel for infrastructure development in the lakes’ shoreline communities. This thesis explores commercial dredging and its impacts at Lake Erie's Pelee Island and Point Pelee, and along the St. Clair River. The mostly transnational activity produced shoreline erosion that threatened agricultural operations, and sand suckers, the dredges that performed the mining, came to symbolize American capitalist exploitation in southwestern Ontario. Disputes arose over the extent of the erosion and affected relations between governments at all levels. Using government and business records, I argue that the Ontario government’s resolution of the crisis by extending a land-based regulatory framework into an already fragmented waterbody regulatory system only exacerbated the situation. Meanwhile, practical efforts to protect shorelines, including scientific study of shoreline processes, sparked a shift in the understanding of freshwater ecology from atomistic to holistic, which helped to end mining in Canada’s western Lake Erie.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.007

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 head0.120
GPT teacher head0.277
Teacher spread0.156 · 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