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Record W287771263 · doi:10.3138/9781442687929

The Donut: A Canadian History

2008· book· en· W287771263 on OpenAlexaboutno aff
Steven Penfold

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2008
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSymbol (formal)Context (archaeology)PatriotismConsumption (sociology)IconPoliticsMedia studiesNational identityAdvertisingPolitical scienceHistorySociologySocial scienceLawBusiness

Abstract

fetched live from OpenAlex

In Canada, the donut is often thought of as the unofficial national food. Donuts are sold at every intersection and rest stop, celebrated in song and story as symbols of Canadian identity, and one chain in particular, Tim Horton's, has become a veritable icon with over 2500 shops across the country. But there is more to the donut than these and other expressions of 'snackfood patriotism' would suggest. In this study, Steve Penfold puts the humble donut in its historical context, examining how one deep-fried confectionary became, not only a mass commodity, but an edible symbol of Canadianness.Penfold examines the history of the donut in light of broader social, economic, and cultural issues, and uses the donut as a window onto key developments in twentieth-century Canada such as the growth of a 'consumer society,' the relationship between big business and community, and the ironic qualities of Canadian national identity. He goes on to explore the social and political conditions that facilitated the rapid rise and steady growth of donut shops across the country.Based on a wide range of sources, from commercial and government reports to personal interviews, The Donut is a comprehensive and fascinating look at one of Canada's most popular products. It offers original insights on consumer culture, mass consumption, and the dynamics 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.

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 categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0380.001
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.192
Teacher spread0.173 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations12
Published2008
Admission routes1
Has abstractyes

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