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Record W2530433344 · doi:10.33137/rr.v34i1-2.16172

Writing to Posterity: Margaret Cavendish’s “A True Relation of my Birth, Breeding and Life” (1656) as an “autobiographical <i>relazione</i>”

2012· article· fr· W2530433344 on OpenAlexvenueno aff
Margaret Reeves

Bibliographic record

VenueRenaissance and Reformation · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

L’essai autobiographique de Margaret Cavendish, intitulé A True Relation of my Birth, Breeding, and Life, et publié dans la première édition de Natures Pictures (1656), peut être lu comme une « relazione autobiographique ». Par la publication de cette brève autobiographie, dans les premières années seulement d’une carrière soutenue et prolifique de vingt ans, Cavendish répond à des rumeurs qui ont commencé à circuler à son sujet parmi ses contemporains. En tant que récit polémique circulant oralement et sous forme écrite, et parfois avec des significations contradictoires, la relazione s’avère utile comme grille d’analyse permettant d’examiner les réponses autobiographiques de Cavendish à ces rumeurs. Cet article montre la finesse avec laquelle elle choisit la relation comme modèle générique de son récit, dans lequelle elle insiste sur la vérité comme moyen de dépasser ses contemporains et de rejoindre un lectorat « d’autres âges » plus réceptif à l’image publique qu’elle construit d’elle-même.

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)0.010
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 score0.056
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0560.015

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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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