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Record W4395074395 · doi:10.5040/9781350450578.ch-008

Archive as Personal ‘Disastar’: The Malcolm Lowry Collection at the University of British Columbia and Beyond

2024· other· en· W4395074395 on OpenAlexaboutno aff
Chris Ackerley, Patrick McCarthy

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsArt historyMedia studiesLibrary scienceArtSociologyComputer science

Abstract

fetched live from OpenAlex

The crucial archival resource for Malcolm Lowry is the Lowry Collection within Special Collections at the University of British Columbia (Vancouver). This includes published editions; critical studies; correspondence (in-coming and out-going); scholarly projects; remnants of Lowry's personal library; and miscellaneous files from family, scholars, publishers and friends. Much of the material has been digitalised, and the Collection is maintained well. Lowry's manuscripts are notoriously messy and heavily revised, but these impressive holdings have been essential to many recent critical editions of Lowry's novels, poetry, and letters; and will inform the scholarly work that still needs to be done, notably the preparation of more accurate texts to replace current flawed editions. Other materials are housed in the New York Public Library, the Huntington Library, the Harry Ransom Humanities Research Center, Nasjonalbiblioteket (Oslo), and (more recently) at the Malcolm Lowry Centre in Liverpool; these usefully complement the primary archival resources at UBC.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.983
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.010
Science and technology studies0.0170.004
Scholarly communication0.0170.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1380.031

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 head0.008
GPT teacher head0.155
Teacher spread0.147 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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Same topicDigital and Traditional Archives ManagementFrench-language works237,207