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Record W7070726286

Review of <i>Of This Earth: A Mennonite Boyhood in theBoreal Forest</i> By Rudy Wiebe

2008· article· en· W7070726286 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirNarrativeImmigrationPower (physics)Tone (literature)Biography
DOInot available

Abstract

fetched live from OpenAlex

Rudy Wiebe, author of nine novels and three collections of stories as well as numerous other works, is best known for his historical fiction-particularly for novels featuring Canada's Native peoples. A first-generation Canadian whose German-speaking Mennonite parents fled Stalinist Ukraine in 1929 and then homesteaded in Saskatchewan, Wiebe has tended to set his fiction on the prairies or in the north. Appalled by the prevailing view that the Plains were "empty" before European immigrants arrived, he has consistently worked to document the repressed history of Canada. His writing has focused not only on the First Nations of his native land, however, but also on his own immigrant people. Wiebe's considerable power is evident in all his writing, but arguably it is in his more autobiographically-infused work-especially his Mennonite fiction-that his readers might find a distinctly generous, lyrical tone of voice. It is this voice, so beautifully sustained, so intimate and engaging, that draws readers into Of This Earth. Forty-four years after the publication of his first novel, Peace Shall Destroy Many (1962), which revealed enough autobiographical detail to provoke a hostile reception from members of his community, Wiebe has returned to his childhood among the Mennonites. Invoking in this poignant, humorous, and utterly compelling memoir the innocent perspective of a young boy-and drawing upon family stories, diaries, and memory-laden photographsWiebe intrigues and deeply satisfies his reader. His authorial self-reflexive musings throughout add a level of reflection that never rudely interrupts but richly enhances this narrative of a solitary and imaginative child.

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)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.003
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 head0.011
GPT teacher head0.170
Teacher spread0.159 · 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
GenreReview

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
Published2008
Admission routes1
Has abstractyes

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