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Record W2134059866 · doi:10.5822/978-1-61091-157-3_1

There’s Something in the Air

2009· book-chapter· en· W2134059866 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

VenueIsland Press/Center for Resource Economics eBooks · 2009
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAmerican Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsShoreGeologyHydrology (agriculture)MooringOceanographyArchaeologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

Clouds are building slowly along the horizon as afternoon breezes begin to stir the air. Cumulous clouds float over the northern shore of Lake Erie, casting shadows on fields of wheat and corn and soybeans. They float over the Tomato Capital of Canada. Over cattails and water lilies and disappearing bullfrogs. The breezes travel south over Lake Huron and over Ojibwe homelands on the south shore of the lake. They travel over the smokestacks of Sarnia, Detroit, and Windsor, and mix with air blowing north from Cleveland and the Ohio Valley. They ruffle flags on the small docks of homes along the St. Clair River, bending the plume of power-plant smoke and black-tipped flares from the refineries that shadow their backyards. They whip up waves at the mouth of the Detroit River and rock the fishing boats moored at the Wheatley Harbor where children scamper along the pier, casting lines in practice for the upcoming fishing derby.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.882
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.205
Teacher spread0.179 · 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