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Record W2067522106 · doi:10.1093/fmls/cqi031

Fictional Fossils: Life and Death Writing in Carol Shields's The Stone Diaries

2005· article· en· W2067522106 on OpenAlexaboutno aff
Marie-Louise Wasmeier

Bibliographic record

VenueForum for Modern Language Studies · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsLife writingLiteratureWitnessBiographyHistoryPhilosophyArt

Abstract

fetched live from OpenAlex

[T]he moment of death occurs while we're still alive. Life marches right up to the wall of that final darkness, one extreme state of being butting against the other. Not even a breath separates them. Not even a blink of the eye. 1 C. Shields, The Stone Diaries (Toronto, 1993), p. 342. Further references will be given in the text, as page number. R egarding life and death as ultimate opposites, as two irreconcilable extremes, is a “distortion” 2 challenged by texts, and in particular by life writing. Jeremy Tambling calls all writing “potentially posthumous since it cannot have a punctual relation to a life of writing”. 3 Michel Foucault, too, in his essay “What Is an Author?”, emphasises writing's relationship to death, which he sees as twofold: on the one hand narrativity has always been “intended to perpetuate the immortality of the hero”; on the other hand, it is “designed to ward off death”. 4 In Ivan Callus' words, “to memorialise a life in writing […] is to play with death's deferral”: 5 the text assumes eternal life in the place of the protagonist or writer, and thus allows her or him to live on in their stories. (Auto)biography as a genre thus “challenges a life–death distinction” 6 by softening the delimitations between the two, breaking down the seeming opposition between life and death. Life writing preserves aspects of past lives that would otherwise dissolve without trace, but, in the act of preservation, it destroys the very features which make “life” into the activity of living 7 – so as text it constitutes a contradiction in terms: it extracts life from life in order to conserve it. This is the reason why “the language of monuments [and] epitaphs […] pervades biographical and autobiographical discourse and testifies to the tensions between a posthumous memorialisation of a life and the attempt to grasp the ‘life’ as it was lived.” 8 Laura Marcus quotes W. H. Epstein, who asserts that the “cultural function of biography” is to “turn life into text and text back into life”. 9 I. Callus, “Comparatism and (Auto)thanatography: Death and Mourning in Blanchot, Derrida, and Tim Parks”, in: Autobiografictions: Comparative Essays , ed. L. Boldrini & P. Davies, Comparative Critical Studies Vol. I, No. 3 (2004), p. 337. J. Tambling, Becoming Posthumous: Life and Death in Literary and Cultural Studies (Edinburgh, 2001), p. 8. M. Foucault, “What Is an Author?”, in: The Foucault Reader , ed. P. Rabinov (London, 1984), p. 102. Callus, p. 337. Tambling, p. 7. L. Marcus, Auto/biographical Discourse: Criticism, Theory, Practice (Manchester & New York, 1994), p. 100. Marcus, pp. 27ff. Marcus, quoting from W. H. Epstein, Recognizing Biography (Philadelphia, 1987), pp. 27ff.

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)0.004
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 score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.294
Teacher spread0.264 · 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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