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Record W4391372920 · doi:10.51644/9781771120722

In Due Season

2016· book· en· W4391372920 on OpenAlexaboutno aff
Christine van der Mark, Carole Gerson, Janice Dowson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

First published in 1947, In Due Season broke new ground with its fictional representation of women and of Indigenous people. Set during the dustbowl 1930s, this tersely narrated prize-winning novel follows Lina Ashley, a determined solo female homesteader who takes her family from drought-ridden southern Alberta to a new life in the Peace River region. Here her daughter Poppy grows up in a community characterized by harmonious interactions between the local Métis and newly arrived European settlers. Still, there is tension between mother and daughter when Poppy becomes involved with a Métis lover. This novel expands the patriarchal canon of Canadian prairie fiction by depicting the agency of a successful female settler and, as noted by Dorothy Livesay, was “one of the first, if not the first Canadian novel wherein the plight of the Native Indian and the Métis is honestly and painfully recorded.” The afterword by Carole Gerson and Janice Dowson provides substantial information about author Christine van der Mark and situates her under-acknowledged book within the contexts of Canadian social, literary, and publishing 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 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)0.003
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 score0.251
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0100.003
Scholarly communication0.0110.005
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2510.072

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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
Published2016
Admission routes1
Has abstractyes

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