MétaCan
Menu
← Back to cohort
Record W4391962727 · doi:10.51644/9781554589968

The Order in Which We Do Things

2014· book· en· W4391962727 on OpenAlexaboutno aff
Owen Percy, Tom Wayman

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Computer scienceBusiness

Abstract

fetched live from OpenAlex

Tom Wayman’s poetry has been published around the world to great acclaim. Wayman is one of Canada’s most prolific and public poets, and his writing since the 1960s has been by turns angry, engaged, hopeful, tender, and hilarious. His voice and persona are his alone but simultaneously ours too. His recurring themes—work, mortality, love, lust, friendship, the natural world—make his work a poetry of human inevitabilities, a poetry that exults in the inevitability of seeing poetry in the everyday. Wayman’s craft is poïesis (from the Ancient Greek “to make”)—making a change, making a difference, making a ruckus, making the most of our time. His working life has always been inextricable from his writing one; his poems offer an honest and candid consideration of the ideological underpinnings, practical realities, and subtle beauties of a life lived on job sites and picket lines, in union halls, classrooms, and book-stuffed offices, and on the page itself. The Order in Which We Do Things is a collection of more than thirty of Wayman’s best poems, selected and introduced by Owen Percy. Percy’s introduction explores the genesis of Wayman’s print persona and contextualizes his politically engaged, conversational voice within the pantheon of its various publics. In his afterword, “Work and Silence,” Wayman reflects on his more than forty years in print as a work poet, and underlines poetry’s sustained power to engage readers, invite solidarity, and stoke the fires of critical resistance to the order in which we do things.

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)0.003
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.023
Scholarly communication0.0130.013
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.008

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 head0.206
Teacher spread0.197 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicShort Stories in Global Literature→French-language works237,207→