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Record W4323529296 · doi:10.1093/escrit/cgad004

Roger Lonsdale

2022· article· en· W4323529296 on OpenAlexaboutno aff
Robert Crawford

Bibliographic record

VenueEssays in Criticism · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsArt historyArtTributeWrightPoetryAdventureHistoryLiterature

Abstract

fetched live from OpenAlex

Obituarist needed. Email the city of Hull: A wry son has fallen. Carry word north beyond Yorkshire: Alert Barter Books. Light beacons on Eglingham moor And along Alnmouth beach where he flew as a navigator On National Service. Notify London. Divert Dr Burney from his harpsichord To break the drab news. Inform Dr Johnson’s teapot. Ring Yale and Oxford. Hunt Holywell Street high and low. Comb the Music Room. Description: Englishman, pipe-cleaner-thin, In an ever-grey suit, furtively smoking, amused By the Scots at Balliol, still loyal only to Bruce. Yell to Devorgilla. Buzz the Snell Bridge. Wake up those show-offy dons. Tell Gray, Collins, and Goldsmith. Whisper to the buttery staff Who knew his tipple, to the staff of stacked Thorntons bookshop Where once he popped in and bought Burns’s Poems with a poem By Burns in manuscript inside. Let the board of Blackwells wear black And the OUP shop in the High close forever in tribute. Tell tubby Ted Heath; tell tottery Harold Macmillan; Tell Hooray Henry Boris and Hooray Henrietta Ghislaine; Tell all the (im)moral tutees; and take word, too, To Roy Park on the Quinag, to Fiona Stafford, to Nick Hudson out in Vancouver, To Lady Mary Wortley Montagu, Anonymous, and Mehetabel Wright. Tell all the male poets whose Lives he helped sort out And all the women poets he added in nudge after nudge. Tell Inspector Morse and Sergeant Lewis to tear round To Lonsdale College, but arrive too late. Dislodge the Master from the Master’s Lodgings To speak blandly and raise a glass. Tell the British Academy to wail and update its website. Comfort shareholders in tobacco companies. They will feel this loss. They’ll never hear the like of his dry cough again. Put rare-book dealers on standby. Start them salivating. But now because one sunny afternoon I saw him almost weep In Manor Walk; because at High Table He assured me it was alright not to feel at home, Take news of him to Dick Ellmann heading home in his Saab And to Marilyn and David Butler giving my parents a lift in their Mini Metro, So they can tell all the dead, as I tell the living, Something of this man whose Wikipedia entry Is just two lines long, his errors ‘not indecently numerous’. Slow the traffic to ode-speed on the Woodstock and Banbury Roads. Back-up tour buses beside Balliol’s side-wall. Tell them So the story may spread, even if all that’s remembered Is a shadow, a wave, a quick word. Who can tell?

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.931
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0060.004
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9310.917

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 head0.043
GPT teacher head0.360
Teacher spread0.317 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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