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Record W7055428955

Canada's Rural Majority: Households, Environments, and Economies, 1870-1940

2023· article· en· W7055428955 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureRural areaRural historyPopulationRural economicsCash cropRural populationWage
DOInot available

Abstract

fetched live from OpenAlex

"Before the Second World War, Canada was a rural country. Unlike most industrializing countries, Canada's rural population grew throughout the century after 1871...even if it declined as a proportion of the total population. Rural Canadians also differed in their lives from rural populations elsewhere. In a country dominated by a harsh northern climate, a short growing season, long distances, and poor land, they typically relied on three ever-shifting pillars of support: the sale of cash crops, subsistence from the local environment, and wage work off the farm. Canada's Rural Majority is an engaging and accessible history of this distinctive experience, including not only Canada's farmers, but also the hunters, gardeners, fishers, miners, loggers, and cannery workers who lived and worked in rural Canada. Focusing on the household, the environment, and the community, Canada's Rural Majority is a compelling classroom resource and an invaluable overview of this understudied aspect of Canadian history."...

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.

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 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 score0.951
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.195
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