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Record W2085468951 · doi:10.1093/library/15.4.453

<i>Bound to Read: Compilations, Collections, and the Making of Renaissance Literature</i> . By J <scp>effrey</scp> T <scp>odd</scp> K <scp>night</scp> . <i>Bound to Read: Compilations, Collections, and the Making of Renaissance Literature</i> . By KnightJeffrey Todd. Philadelphia: University of Pennsylvania Press. 2013. [viii] + 279 pp. £39. <scp>isbn</scp> 978 0 8122 4507 3.

2014· article· en· W2085468951 on OpenAlex

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 Library · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsKnightThe RenaissanceRenaissance literatureArtClassicsArt historyLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Journal Article Bound to Read: Compilations, Collections, and the Making of Renaissance Literature. By Jeffrey Todd Knight. Get access Bound to Read: Compilations, Collections, and the Making of Renaissance Literature. By Jeffrey Todd Knight. Philadelphia: University of Pennsylvania Press. 2013. [viii] + 279 pp. £39. isbn978 0 8122 4507 3. Germaine Warkentin Germaine Warkentin Toronto g.warkentin@utoronto.ca Search for other works by this author on: Oxford Academic Google Scholar The Library, Volume 15, Issue 4, December 2014, Pages 453–455, https://doi.org/10.1093/library/15.4.453 Published: 25 December 2014

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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