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Record W1524471519

Exploring the Competing Narratives of Isabella Valancy Crawford’s Malcolm’s Katie

2006· article· en· W1524471519 on OpenAlexaffvenueabout
C. W. M. Hart

Bibliographic record

VenueStudies in Canadian Literature · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryNarrativeDepictionIdealismLiteratureSensibilityHistoryArtAestheticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Since its publication in 1884, Malcolm's Katie has received much and varied critical attention. Early critics read the poem as a narrative of nation building, a contribution to a patriotic program of Canadian settlement and expansion. The text received far different treatment in the hands of modernist critics, who reacted strongly against the poem's Victorian sensibility. Since the 1980s, Malcolm's Katie has been read through a variety of lenses- from the feminist to the ecological. These readings take important steps towards giving the poem the focused critical attention it deserves by acknowledging the nuances of Isabella Valancy Crawford's art. Throughout the poem different narratives compete for recognition: Katie's emphasis on truth against Alfred's duplicity; Max's naive idealism against Alfred's nihilism; the pioneer history represented by Malcolm against the natural history suggested in Crawford's depiction of the natural world; and even the narrative itself against the interspersed lyrics that give voice to impulses and desires that do not fit in the narrative. Crawford's poem deserves and rewards continued academic study. It contributed significantly to the historical development of the Canadian long poem, and stands as a testament to Crawford's skill as a poet and the profundity of her thinking.

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)0.008
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 score0.113
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0500.039
Scholarly communication0.0120.005
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.289
Teacher spread0.233 · 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

Citations0
Published2006
Admission routes3
Has abstractyes

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Same venueStudies in Canadian LiteratureSame topicCanadian Identity and HistoryFrench-language works237,207