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Record W4406625411 · doi:10.29173/cons29536

Beyond the Trenches

2025· article· en· W4406625411 on OpenAlexaffvenueabout
Marlena Austermann

Bibliographic record

VenueConstellations · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

While World War I presented opportunities for women to break out of traditional roles, it also reinforced enduring gender norms. The war represents a complex period of both progress and regression for women’s rights and roles. This essay explores the impact of World War I on Canadian women, highlighting the tensions between the temporary expansion of their roles and the reinforcement of traditional gender dynamics. Prior to the war, women’s roles were largely confined to the domestic sphere, with limited participation in public or economic activities. However, as men left to fight, women took on jobs traditionally reserved for men, especially in clerical and industrial work, demonstrating their capabilities in new areas. Despite this, women’s contributions were often framed within the confines of traditional femininity, particularly in nursing, which reinforced the image of women as nurturers and caregivers. Propaganda during the war emphasized women’s caregiving roles, portraying them as saintly figures whose work in nursing aligned with societal ideals of female virtue and sacrifice. This reinforced the maternalistic view of women, even as they gained greater visibility in the workforce.

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)0.007
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 score0.387
Threshold uncertainty score0.779

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0320.053
Scholarly communication0.0150.010
Open science0.0020.008
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0270.004

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 head0.258
Teacher spread0.247 · 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
Published2025
Admission routes3
Has abstractyes

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