MétaCan
Menu
Back to cohort
Record W4382358749 · doi:10.1017/9781009280723.012

‘Building Castles in the Air’: Anne Lister and Associational Life

2023· book-chapter· en· W4382358749 on OpenAlexaboutno aff
Cassandra Ulph

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGentryNonconformityContext (archaeology)Identity (music)SociologyGender studiesPower (physics)Media studiesPolitical scienceLawHistoryAestheticsArtEngineering

Abstract

fetched live from OpenAlex

This chapter considers how Anne Lister negotiated a place and identity for herself in (and beyond) Halifax society through her engagement in associational activity. This chapter positions Lister’s intellectual activity in the wider context of the opportunities for women’s participation in civic and intellectual life in this period, on a local and regional level, by considering her membership of more formal networks such as the York Friendly Society and the Halifax Literary and Philosophical Society, alongside informal ones of prominent local families. Lister’s status in her home town of Halifax was particular and unusual owing to the relatively open secret of her sexual nonconformity, as well as her propertied status as the owner of Shibden Hall. Building on the important work by Jill Liddington in Female Fortune (1998), which establishes Lister’s construction of a landed gentry identity that could compete with her fellow landowners, this chapter examines how far this exceptionality was able to carry her in evading the usual gendered constraints of intellectual life, and the ways in which she deployed traditionally patriarchal forms of power in accessing, promoting and disseminating civic projects such as the new ‘Lit and Phil’.

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)0.001
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: Other
Teacher disagreement score0.017
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.013
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.062
GPT teacher head0.233
Teacher spread0.171 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicHistorical and Scientific StudiesFrench-language works237,207