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The dynamics of family farming in North Huron County, Ontario. Part II. Farm–community interactions

2004· article· en· W1981422722 on OpenAlexaffvenueabout
John Smithers, Paul Johnson, Alun E. Joseph

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAgricultureComplementarity (molecular biology)Variety (cybernetics)WarrantPurchasingFamily farmDiversity (politics)Empirical researchLocal communityEmpirical evidenceGeographyBusinessEconomic growthMarketingPolitical scienceEconomics

Abstract

fetched live from OpenAlex

In Canada and elsewhere, there is a growing belief that farming and rural communities have become effectively disconnected from one another. While attention to recent media reporting suggests that incidences of conflict are now as common as examples of support and collaboration, it is suggested that many examples of complementarity remain. These evolving relationships may, however, be linked to the nature of specific farm development trajectories. Such possibilities warrant empirical examination, with attention to known diversity in the family farm sector. This paper reports on an empirical investigation of farm and community linkages in North Huron County, Ontario. The paper builds upon a recent investigation of change in family farming in this region and seeks to document the ways in which local farmers continue to look to their rural communities for support of various kinds. Data are drawn from a survey of farmers in Ashfield and Colborne Townships in 1999. The research explores community linkages around three dominant themes: participation in organisations, purchasing and perceptions and experiences of community support for farming. The findings indicate the persistence of strong linkages between farms and local communities in the study region but point to a potential tendency for disconnection between farms pursuing aggressive expansion and local community organisations and businesses. There is some evidence that jobs and a variety of farm household considerations may form key linkage points between the two sectors, with the importance of these mediated by farm business trajectories and the family life course.

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)0.000
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 score0.082
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0020.001
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 head0.015
GPT teacher head0.201
Teacher spread0.186 · 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

Citations24
Published2004
Admission routes3
Has abstractyes

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