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Record W2018473750 · doi:10.1080/10408340308518274

Life Lived ‘like a map with all the rivers and hills showing’: Emily Carr’s travel vignette from the rough edge

2005· article· en· W2018473750 on OpenAlexaboutno aff
Dianne Newell

Bibliographic record

VenueLife Writing · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCarrVignettePaintingMountaineeringArt historyHistoryArchaeologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

This essay examines an autobiographical vignette by Canadian painter-writer Emily Carr (1871–1945) through the lens of Frye’s idea of the ‘explorer-painter’. Through wide-ranging research, the article touches on historical concepts of the Canadian West Coast, the role of the visual and of transportation structures in travellers’ experiences of landscape, the tension between the natural and industrial technological realms (particularly in regard to coastal salmon canneries), images of the body (racialised and/or aging and vulnerable), and Carr’s competing (self) representations. The centrepiece is the extraordinary, understudied ‘Salt Water’ story or vignette from Carr’s award-winning first book, Klee Wyck

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.312
Threshold uncertainty score0.629

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0400.015
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.210
Teacher spread0.187 · 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
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

Citations1
Published2005
Admission routes1
Has abstractyes

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