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Record W109208319 · doi:10.3138/jcs.36.2.106

Furnishing the Pictures: Arthur S. Goss, Michael Ondaatje and the Imag(in)ing of Toronto

2001· article· en· W109208319 on OpenAlexvenueaboutno aff
Dennis Duffy

Bibliographic record

VenueJournal of Canadian Studies · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsVerisimilitudePower (physics)Character (mathematics)SociologyArt historyVisual artsMedia studiesHistoryArtLiterature

Abstract

fetched live from OpenAlex

There is more to the cameo appearance of civic photographer Arthur S. Goss (1880-1940) in Ondaatje's In the Skin of a Lion than another instance of historical verisimilitude. The city of Toronto's first official photographer, Goss's oeuvre provided Ondaatje with a set of civic images enabling him to reconstruct his version of the past, as shown in Duffy 1994. Goss's career as a civic official also entwined him in the careers of two of Toronto's most potent modernizers, Charles J. Hastings and Roland C. Harris (the latter a character in In the Skin of a Lion). They in turn produce the discourse of power that remains one of the novel's themes. Thus Ondaatje's Goss returns to life as the writer's fellow visionary.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.279
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.007
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.004

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 head0.036
GPT teacher head0.262
Teacher spread0.226 · 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

Citations2
Published2001
Admission routes2
Has abstractyes

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