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Record W2194820195 · doi:10.7202/1032798ar

“Tobacco has Blossomed like the Rose in the Desert”: Technology, Trees, and Tobacco in the Norfolk Sand Plain, c. 1920-1940

2015· article· en· W2194820195 on OpenAlexvenueaboutno aff
Jonathan McQuarrie

Bibliographic record

VenueJournal of the Canadian Historical Association · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsCultivation of tobaccoContext (archaeology)Desert (philosophy)AgricultureCapitalismState (computer science)Political scienceEconomyGeographyEconomic historyAgroforestryEconomic growthArchaeologyHistoryEconomicsLaw

Abstract

fetched live from OpenAlex

Drawing on rural, biotechnological, and environmental history, this article examines how farmers, corporations, and the state deployed developments in silviculture and agriculture to reshape Norfolk County, Ontario. It traces the emergence of a relatively vibrant flue-cured tobacco sector during the Great Depression, a sector that both broke from and drew on earlier reforestation efforts that had emerged at the start of the twentieth century. In this context, tobacco and trees can best be viewed as biotechnologies connected to a continental flow, rather than simply as natural products. The article also argues that raising both trees and tobacco drew on ideas of conservation and resource management that were tightly bound to the development of rural capitalism, but highlights how the soil and environment influenced the capitalist objective of profitable rural development in ways that frustrated the idea of nature being manageable. It ends by noting that despite the ascendency of capitalist-informed ideas about rural development in Norfolk, other ways of understanding soil and the environment persisted.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.189
Teacher spread0.174 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations5
Published2015
Admission routes2
Has abstractyes

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