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Record W2002150230 · doi:10.7202/030841ar

An Authorative Voice: the Reorientation of the Canadian Farmers’ Movement, 1935 to 1945

2006· article· fr· W2002150230 on OpenAlexvenueaboutno aff
Ian MacPherson

Bibliographic record

VenueHistorical Papers · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L'agriculture canadienne a subit de multiples transformations depuis le siècle dernier ; divers organismes ont tour à tour jalonné l'éveil de la conscience rurale qu'on observe dans la deuxième moitié du dix-neuvième siècle de même qu'ils ont caractérisé le militantisme qui se manifeste au début du vingtième. Les années trente verront ce mouvement adopter une orientation beaucoup plus axée sur les problèmes du marché et, en 1935, on fonde la Canadian Chamber of Agriculture. C'est sur les activités qui ont marqué la première décennie de cette association que se penche l'auteur de cet article. Un des premiers objectifs de cet organisme fut d'établir de solides structures régionales-provinciales. La Chambre préconisait la mise sur pied d'un marché ordonné, l'instauration de services sociaux adéquats en milieu rural, l'amélioration du système de crédit en vigueur et l'élaboration d'une politique nationale convenable en matière d'agriculture. Au cours de la deuxième grande guerre, l'association eu gain de cause sur plusieurs points. Cependant, en cours de route, le mouvement se transforma peu à peu en groupe de pression et perdit graduellement son aspect propagandiste. On semblait désormais accepter que, bien qu'il soit maintenant plus clairement défini, le rôle de l'agriculture était appelé à diminuer dans la vie canadienne.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.176
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0300.014
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2006
Admission routes2
Has abstractyes

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Same venueHistorical PapersSame topicCanadian Identity and HistoryFrench-language works237,207