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Record W3144189005 · doi:10.3138/ecf.33.3.349

Clarissa’s Commerce: Relocations and Relationships in London

2021· article· en· W3144189005 on OpenAlexvenueno aff
Elizabeth Porter

Bibliographic record

VenueEighteenth-Century Fiction · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelocationNeighbourhood (mathematics)Representation (politics)Sex workersSociologyClothingSpace (punctuation)Gender studiesHistoryLawPolitical scienceDemographyComputer scienceArchaeologyPolitics

Abstract

fetched live from OpenAlex

Samuel Richardson’s Clarissa (1747–48) explores the social geographies of London neighbourhoods, contrasting the characteristics of genteel and commercial regions yet acknowledging the flux and instabilities of city life. Clarissa’s relocation from genteel to commercial London affords temporary sanctuary where she can live as a single woman and die as a feme sole. When she relocates to the commercial region of Covent Garden, she lives among shopkeepers and sells pieces of her clothing. Counterintuitively, this neighbourhood, which was associated with sex work during the period, is framed as a location where the title heroine can find community and participate in commerce without sexual exploitation. By teasing out the mobility available in Covent Garden, this article illustrates how the novel imagines alternative possibilities to marriage or sex work and locates these possibilities within commercial urban space. Presenting a complex view of the metropolis, Richardson contributes to the literary representation of London and to the plotting of women in circuits outside of sexual exchange.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.494

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 studies0.0000.000
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 head0.045
GPT teacher head0.222
Teacher spread0.177 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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