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Record W7135912178

In search of female identity in the rural novel

2021· dissertation· fr· W7135912178 on OpenAlexaboutno aff
Viktorie Roglová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2021
Typedissertation
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyIdentity (music)HierarchyNarrativePopularityPhenomenonFriendshipNationalism
DOInot available

Abstract

fetched live from OpenAlex

This thesis deals with the phenomenon of French-Canadian literature, the rural novel, from the point of view of the author Germaine Guèvremont. The aim of the thesis is to reveal how the literary genre helped the Quebec women to create their propre literary tradition, how they managed to open purely women topics within this specific genre and how this helped to define their identity. The first part clarifies the origin of the genre based on the nationalist ideology and the traditional values such as native land, family, and religion. These values were associated with the French-Canadian identity as well as they defined the social hierarchy which placed women into inferior position in the society. The second part examines the social status of women in Quebec at the time of the biggest popularity of the genre. In this part, women are also shown as the protagonists of the novels, as well as the bearers of the female literary tradition. The third and last part is dedicated to the analysis of Germaine Guèvremont's novels, Le Survenant and Marie- Didace. It focuses on the characteristics of the female characters as individuals, the narrative and language devices, and finally on the topics such as marriage, friendship between women and motherhood.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.233
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.014
Scholarly communication0.0110.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.275
Teacher spread0.262 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)Same topicCanadian Identity and HistoryFrench-language works237,207