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Record W3023656527

Our Home and Native Land: Nation- Building, Land Ownership, and Rural Narratives in the Canadian Prairies

2018· article· en· W3023656527 on OpenAlexaboutno aff
Janelle Gobin

Bibliographic record

VenueCrossings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeContext (archaeology)AgricultureSettlement (finance)Identity (music)Political scienceSociologyGeographyBusinessArchaeologyAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Contemporary advertisement campaigns and media messaging from the Canadian agricultural industry often portray agriculture as closely intertwined with Canadian history and identity. This article offers a critical analysis of the narratives associated with the Canadian agricultural industry by examining elements of Canada’s settlement history, interrogating historical narratives, and analyzing several contemporary advertisement campaigns, namely Farm Credit Canada’s “Ag More Than Ever” campaign. The portrayals found in both historical and contemporary advertisements depict land ownership and the environment in mechanistic and industrial ways that frame farmers as environmental stewards. In the modern context, these narratives allow the agricultural industry to combat criticisms regarding the environmental impact of Canadian agricultural practices. This obscures the appropriative history of Canadian agriculture as well as any potential opportunities for meaningful dialogue and change.

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, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
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
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.000
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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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 designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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