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Record W4387701206 · doi:10.1093/res/hgad089

<scp>Noah Heringman</scp>. <i>Deep Time: A Literary History</i>

2023· article· en· W4387701206 on OpenAlex
Matthew Rowlinson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Review of English Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsHistoryHistory of literatureLibrary scienceArtLiteratureComputer science

Abstract

fetched live from OpenAlex

Journal Article Noah Heringman. Deep Time: A Literary History Get access Noah Heringman. Deep Time: A Literary History. Pp. xviii+297. Princeton, New Jersey: Princeton University Press, 2023. Hardback, £100. Matthew Rowlinson Matthew Rowlinson University of Western Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar The Review of English Studies, Volume 74, Issue 317, November 2023, Pages 902–904, https://doi.org/10.1093/res/hgad089 Published: 17 October 2023 Article history Received: 30 September 2023 Editorial decision: 07 October 2023 Accepted: 09 October 2023 Corrected and typeset: 17 October 2023 Published: 17 October 2023

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.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.239
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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