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Record W3113272280 · doi:10.29173/jjs46

Growing Up Burney

2020· article· en· W3113272280 on OpenAlexaffvenue
Lorna J. Clark

Bibliographic record

VenueJournal of Juvenilia Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsRomanceReading (process)FeelingNephew and nieceIdentity (music)SisterExpression (computer science)LiteratureRelation (database)PoetryHistory of literatureHistoryArtPsychologySociologyPhilosophyAestheticsSocial psychologyLinguisticsAnthropology

Abstract

fetched live from OpenAlex

The pressure of family identity and politics affected more than one generation of Burneys. Beyond Frances Burney, and her intense relationship with her father Charles Burney, were other family members who also felt the pressure to “write & read & be literary.” These tendencies can be seen most clearly in the works of juvenilia preserved in the family archive. A commonplace book bound in vellum has been discovered that preserves more than one hundred poems, mostly original compositions written by family and friends. The activity of commonplacing reflects a community in which reading and writing are valued. Collected by the youngest sister of Frances Burney, they seem to have been copied after she married. The juvenile writings of her nieces and nephews preponderate, whose talents were encouraged, as they give versified expression to their deepest feelings and fears. Literary influences of the Romantic poets can be traced, as the young authors define themselves in relation to these materials. Reflecting a kind of self-fashioning, the commonplace book helps these young writers explore their sense of family identity through literary form. This compilation represents a collective expression of authorship which can inform us about reading and writing practices of women and their families in the eighteenth century.

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)0.002
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 score0.058
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.002
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0580.005

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 head0.086
GPT teacher head0.271
Teacher spread0.185 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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