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Record W2059026623 · doi:10.1080/00467600902804528

‘Great chorus of protest’: a case study of conflict over the 1909 Eaton's readers

2009· article· en· W2059026623 on OpenAlexafffundabout
Penney Clark

Bibliographic record

VenueHistory of Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChorusOrder (exchange)AppealPoliticsVariety (cybernetics)AdvertisingService (business)CLARIONPolitical sciencePublicationPublic relationsMedia studiesLawMarketingBusinessSociologyPsychology

Abstract

fetched live from OpenAlex

This article examines the controversy that ensued when the Education Department of the province of Ontario, Canada, granted the tender to publish elementary school readers to the T. Eaton Company, a department store, in 1909. This decision eliminated an important source of income for retail booksellers, who could not compete with the consumer appeal of a department store, or with its option of mail‐order service. Over the next decade, the booksellers fought vociferously, using a variety of strategies, in an effort to mitigate the effects of this decision on their profits. The booksellers' struggle was part of a larger campaign on the part of retailers to oppose mail‐order provision of consumer goods in Canada. This historical case study contributes to our understanding of the effects of political influences and commercial pressures on the provision of textbooks, which are central to instruction in a publicly funded school system.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.689

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0750.034
Scholarly communication0.0100.005
Open science0.0040.009
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.297
Teacher spread0.259 · 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.

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

Citations5
Published2009
Admission routes3
Has abstractyes

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