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Watson, Sheila (1909–1998)

2018· book-chapter· en· W4229653135 on OpenAlexaffabout
Jana Millar Usiskin

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWatsonGeorge (robot)Art historyHistorySociologyArtMedia studies

Abstract

fetched live from OpenAlex

Canadian writer Sheila Watson (1909–1998) is best known for her modernist novel The Double Hook (1959) about the redemptive struggles of a small, rural community as they deal with the murder of one of their members. Born Sheila Martin Doherty in New Westminster, BC, Watson received her BA, (Hons) in English (1931) and MA (1933) from the University of British Columbia. She taught elementary students in a number of rural schools in British Columbia before marrying Wilfred Watson in 1941. She then continued to teach in Toronto, in Vancouver at the University of British Columbia, and in Powell River, BC While living in Calgary during 1951–52, Watson completed The Double Hook, which was published to mixed reviews. After its publication, Watson began her PhD under he guidance of Marshall McLuhan at the University of Toronto and completed her dissertation Wyndham Lewis: Post Expressionist at the University of Alberta in 1961. While working as a professor at the University of Alberta, Watson continued to write and publish. She maintained correspondence with several Canadian scholars and writers, including Michael Ondaatje, George Bowering, and Daphne Marlatt. After her retirement in 1980, Sheila and her husband moved to Nanaimo, BC, where they died in 1998.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.394
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.005
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.004

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 head0.022
GPT teacher head0.217
Teacher spread0.196 · 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
Published2018
Admission routes2
Has abstractyes

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