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Record W4256239043 · doi:10.3138/jcs.40.2.42

Death and the Diary, or Tragedies in the Archive

2006· article· en· W4256239043 on OpenAlexvenueno aff
Kathryn Carter

Bibliographic record

VenueJournal of Canadian Studies · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicAutobiographical and Biographical Writing
Canadian institutionsnot available
Fundersnot available
KeywordsMillerWifeFace (sociological concept)HistoryAccidentalCurrencyLiteratureSociologyLawArtPhilosophyPolitical scienceSocial scienceLinguistics

Abstract

fetched live from OpenAlex

The privately held diary of Myrtle Gamble Knister, wife of modernist author Raymond Knister, stands as a touchstone document, used as evidence to substantiate her husband’s drowning as accidental and to contradict Dorothy Livesay’s claim that it was a suicide. Exploring the controversy around his death, and using Myrtle Knister’s diary as an example, this essay seeks to evaluate in a more general way the diary’s currency in the economy of the archive, especially the currency of those diaries that face evidentiary demands when called upon to function as eyewitness reports. The essay assesses the similarities and differences between diaries of tragedies and autothanatography, a term developed by Nancy K. Miller in 1994 to describe a genre of life writing that explicitly confronts death.

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)0.002
metaresearch head score (Gemma)0.015
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 score0.989
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.013
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.233
Teacher spread0.190 · 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 routes1
Has abstractyes

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