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Record W4411985672 · doi:10.15353/cjds.v12i2.1014

Early twentieth century women reading through disability and illness: Letters to Canadian novelist Ralph Connor

2023· article· en· W4411985672 on OpenAlexaffvenueabout
Grace O'Hanlon

Bibliographic record

VenueCanadian Journal of Disability Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReading (process)Reading disabilityPsychologyHistoryPsychoanalysisGender studiesGerontologyPsychiatrySociologyMedicineDyslexiaPolitical scienceLaw

Abstract

fetched live from OpenAlex

Ralph Connor was a well-known novelist in the first decade of the twentieth century. Many people read his popular fiction novels around the world. Perhaps owing to his popularity and penchant for keeping correspondence, his collected papers, held the Archives and Special Collections at the University of Manitoba in Winnipeg, Canada, include over six hundred fan letters. I examined these letters with the intention of exploring women’s responses to popular fiction of the era and the reasons they were reading. As I read the letters, a recurring theme emerged in letters penned by women: they described the role of reading in their lives in relation to their personal experiences with disabilities and chronic illness. Others wrote about the experience of reading to their mothers, sisters, or friends with disabilities. These fan letters are the voices of women with disabilities who were relegated to the margins of society. Ultimately, the letters reveal the role of reading as a leisure activity, a vocation, and a social outlet in the lives of early twentieth century women who identified themselves as invalids, shut-ins, and bedbound.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2023
Admission routes3
Has abstractyes

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