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Record W2175159521 · doi:10.3138/utq.84.4.03

“Touching Them into Words”: Running with Michael Ondaatje among the Dead

2015· article· en· W2175159521 on OpenAlexaffvenueabout
Neil ten Kortenaar

Bibliographic record

VenueUniversity of Toronto Quarterly · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHistoryLiteratureSociologyArt

Abstract

fetched live from OpenAlex

Michael Ondaatje's Running in the Family makes the claim, however obliquely, that the author can speak with his dead father. This contact relies on shifting pronouns that in writing, unlike in speaking, can be attributed to more than one person in different contexts. The text cannot reach out directly and touch the dead, but it makes room for the dead to enter, much as wild animals invade human spaces. The dead exist in the depths of the flat page, and writing allows them to communicate with the living. Writing can do so because the living and the dead are both readers. The article seeks to extend this kind of communication beyond Ondaatje and his father to include Ondaatje's readers, specifically the author of the article and the Sri Lankan-Canadian critic Chelva Kanaganayakam.

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: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.015
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.186
Teacher spread0.166 · 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

Citations2
Published2015
Admission routes3
Has abstractyes

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Same venueUniversity of Toronto QuarterlySame topicSouth Asian Studies and DiasporaFrench-language works237,207