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Record W2345410812 · doi:10.7202/1036041ar

Farm Forestry in Agricultural Southern Ontario, ca. 1850-1940: Evolving Strategies in the Management and Conservation of Forests, Soils and Water on Private Lands

2016· article· en· W2345410812 on OpenAlexvenueaboutno aff
Patricia Bowley

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsReforestationAgricultureDeforestation (computer science)AgroforestrySoil conservationGeographyAfforestationForest managementTree plantingNatural resourceForestryEnvironmental scienceEcologyArchaeology

Abstract

fetched live from OpenAlex

Early settlers in southern Ontario aspired to become prosperous land-owning farmers; they began by cutting trees. Within a few decades, wind and water, unimpeded by forest cover, devastated soil and crops. Farmers were encouraged by groups such as the Ontario Fruit Growers’ Association to reforest some of their land. Farm forestry, as part of scientific agriculture, had a strong beginning in the early 1900s with the Ontario Agricultural and Experimental Union, but that movement was poorly supported until the 1930s, when the relationship between deforestation and water supplies reached a crisis. The Ontario Conservation and Reforestation Association (OCRA) and the Ontario Crop Improvement Association (OCIA) were created in agricultural southern Ontario in 1937-8 after a disastrously hot dry summer. Each organization interpreted the conservation of natural resources in profoundly different ways: the OCRA as a movement to create forest resources on public property, and the OCIA as management of privately-owned farmlands to improve crop production.

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 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 score0.295
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.015
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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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.

Study designObservational
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

Citations7
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueScientia Canadensis Canadian Journal of the History of Science Technology and MedicineSame topicCanadian Identity and HistoryFrench-language works237,207