MétaCan
Menu
Back to cohort
Record W4378445310 · doi:10.1515/9780773588646

Both Hands

2013· book· en· W4378445310 on OpenAlexaboutno aff
Sandra Campbell

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2013
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Editor and publisher, workaholic and romantic, idealist and pioneer, Lorne Pierce once described his editorial desk as "an altar at which I serve - the entire cultural life of Canada." Pierce laboured at his altar between 1920 and 1960 as the driving force behind Ryerson Press, the leading publisher of Canadian works during the mid-twentieth century. In Both Hands, Sandra Campbell captures the inimitable cultural role of a remarkable man whose work paved the way for the creation of a national identity. Both Hands delves into the encounters, trials, and triumphs that inspired Pierce's vision of cultural nationalism - from his rural upbringing in eastern Ontario, to the philosophical ideals he acquired at Queen's University, to his service as a teacher, a Methodist preacher, and a military man during the First World War. All these experiences coalesced in his work at Ryerson Press - then Canada's largest publishing house - even as he battled lupus and deafness to make his mark on the country's literary scene. Campbell situates this unflinching look into Pierce's personal and public life within the context of Canadian society, detailing his relationships with major figures such as the Group of Seven, Harold Innis, Donald Creighton, E.J. Pratt, the modernist Montreal poets, Northrop Frye, and many others. Set against the rich backdrop of Canada's early literary and artistic heritage, Both Hands vividly presents the life and work of an impresario of literary, historical, and art publishing of indisputable influence throughout the country's cultural milieus.

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)0.001
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.644
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0170.006
Open science0.0020.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.6440.557

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 head0.013
GPT teacher head0.188
Teacher spread0.175 · 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
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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicShort Stories in Global LiteratureFrench-language works237,207