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Record W4403102703 · doi:10.7227/bjrl.100.1.4

The English Gift after the Destruction of the University of Louvain Library in World War I

2024· article· en· W4403102703 on OpenAlexaffabout
Cathleen Hoeniger

Bibliographic record

VenueBulletin of the John Rylands Library · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsWorld War IIHistoryClassicsLiteratureArtArchaeology

Abstract

fetched live from OpenAlex

The deliberate destruction of the university library in Louvain during World War I caused an international outcry, but also elicited constructive reactions. One of the most impressive responses was the collection in England of an enormous donation of books to replace those lost, a project coordinated by the John Rylands Library in Manchester. Although the librarian, Henry Guppy, documented the donation in issues of the Bulletin of the John Rylands Library , this generous and altruistic work has received little mention in the recent scholarship on the burning of the library and its rebuilding. This article charts the development of the project and the extent of the contribution, drawing on Guppy’s publications and documents in the library archives of the University of Manchester, Oxford University and the University of Toronto. Some of the most valuable gifts from private individuals receive special attention, as do the institutional donations by the Bodleian Library and the University of Toronto.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.691
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.145
Teacher spread0.140 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2024
Admission routes2
Has abstractyes

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