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Record W1951072933

Arranging the Self : Literary and Archival Perspectives on Writers’ Archives

2012· article· en· W1951072933 on OpenAlexaboutno aff
Jennifer Douglas

Bibliographic record

VenueArhivski vjesnik · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtCharacter (mathematics)ServantArt historyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This article reports on a small exploratory research project undertaken by the authors on the archives of three well-known Canadian writers − L.M. Montgomery, Marian Engel, and Alice Munro – for the purpose of assessing whether and to what extent we can know writers – their character and intentions – through their archives. The three writers’ archives were examined through two interpretive frameworks: the archival principles of arrangement and the literature on life writing. The authors found that the capacity of a writer’s archive to reveal character and intention, inevitably, is constrained by the writer’s own efforts to conceal and edit the self, and by the imposition of intentions of persons other than the writer on the archive. RESUME Ce texte rend compte d’un petit projet de recherche exploratoire que les auteures ont mene en examinant les fonds d’archives de trois ecrivaines canadiennes bien connues – L. M. Montgomery, Marian Engel et Alice Munro – afin de determiner s’il est possible de connaitre les ecrivaines, leurs personnalites et leurs intentions, a partir de leurs archives, et si oui, dans quelle mesure. Les auteures ont examine les archives des trois ecrivaines en se servant de deux cadres d’interpretation : les principes archivistiques du classement et les textes theoriques portant sur le recit de vie. Les auteures ont conclu que la possibilite qu’un fonds d’archives d’ecrivain revele la personnalite et l’intention de l’auteur est inevitablement contrainte a la fois par les efforts memes de l’ecrivain pour cacher ou reviser sa vie et par l’intervention de d’autres personnes qui peuvent imposer leur propre intention sur le fonds d’archives.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.957
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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 teacher head, 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

Citations7
Published2012
Admission routes1
Has abstractyes

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