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Record W4361269290 · doi:10.1080/14748932.2023.2182166

A Brontë Reading List: 2020

2023· article· sq· W4361269290 on OpenAlexaff
Sara L. Pearson, Peter Cook, James Ogden

Bibliographic record

VenueBrontë Studies · 2023
Typearticle
Languagesq
FieldEconomics, Econometrics and Finance
TopicAyn Rand and Brontë studies
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsReading (process)Reading listLibrary scienceHistoryComputer scienceLinguistics

Abstract

fetched live from OpenAlex

This reading list is an annotated bibliography of selected scholarly and critical work on the Brontës published in 2020.Footnote1 Bibliographical details are followed where possible by summaries and assessments. The list covers most book chapters and peer-reviewed articles on the Brontës, but it is not comprehensive. Articles published in Brontë Studies are as a rule excluded, as are books reviewed in Brontë Studies; readers are directed to the publisher’s website, www.tandfonline.com, for online access to these reviews. The author of each entry is indicated by the author’s initials in brackets following the entry.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.765
Threshold uncertainty score0.335

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7650.778

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 head0.102
GPT teacher head0.292
Teacher spread0.190 · 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.

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

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