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Record W2059092132 · doi:10.1093/res/hgm131

ERIC RASMUSSEN and AARON SANTESSO (eds). Comparative Excellence: New Essays on Shakespeare and Johnson.

2007· article· en· W2059092132 on OpenAlexaff
Fiona Ritchie

Bibliographic record

VenueThe Review of English Studies · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsMcGill University
Fundersnot available
KeywordsExcellenceOrder (exchange)ReciprocalHistorySociologyClassicsLiteratureEpistemologyLinguisticsArtPhilosophy

Abstract

fetched live from OpenAlex

The essays in this volume originated as papers delivered at a 2005 symposium held at the University of Nevada when five Shakespeareans and five Johnsonians met to discuss the reciprocal relationship between these two literary greats, exploring not only Shakespeare's influence on Johnson but also Johnson's impact on the reception of Shakespeare. The symposium and the resulting essay collection constitute an innovative attempt at fostering dialogue between scholars of two distinct periods and writers. But what was surely the most interesting aspect of the symposium, the discussion which took place between papers amongst these 10 distinguished speakers of two separate scholarly backgrounds, is lost to us in this volume. The essays seem not to have been revised in any substantial way in order to allude to insights the speakers gained from hearing their colleagues’ papers and, more significantly, the volume lacks an introduction. This would have been an excellent place for the symposium organisers to have elucidated some of the debate that emerged from the delivery of the papers. The essays also seem somewhat haphazardly organised; if there was a methodology behind their ordering, an introduction would have been a useful place to explain this. The overall impression is, therefore, of a somewhat random volume, rather than a systematic new analysis of Shakespeare and Johnson.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.812
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.084
GPT teacher head0.321
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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