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Record W7051734840

Oxford Brookes Poetry Centre: Oxford Poets #11: James Arthur talks to Niall Munro

2019· other· en· W7051734840 on OpenAlexaboutno aff

Bibliographic record

VenueRadar (Oxford Brookes University) · 2019
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryScholarshipGeorge (robot)TypeScriptAmerican poetryMemoir
DOInot available

Abstract

fetched live from OpenAlex

In the latest episode of the Poetry Centre Podcast, Niall Munro talks to James Arthur.\n\nJames was born in Connecticut and grew up in Toronto. His poems have appeared in many magazines and journals, including The New Yorker, Poetry, The New York Review of Books, the London Review of Books, and The Walrus. He has been awarded numerous scholarships and fellowships, such as the Amy Lowell Travelling Poetry Scholarship, a Hodder Fellowship, a Stegner Fellowship, a Discovery/The Nation Prize, a Fulbright Scholarship to Northern Ireland, and a visiting fellowship at Exeter College, Oxford. He lives in Baltimore and teaches in the Writing Seminars at Johns Hopkins University.\n\nJames’s first book of poetry Charms Against Lightning, was published by Copper Canyon Press in 2012, and his chapbook, Hundred Acre Wood, came out in 2018 with Anstruther Press. His second full collection, The Suicide’s Son, was published in spring of 2019 by Véhicule Press in Montreal. There is more about James and his work on his website.\n\nIn this podcast, Niall and James discuss knowledge and childhood, living in Canada and the United States, drone warfare, and the experience of being a new parent. In particular, we talk about three of James’s poems: ‘Ode to an Encyclopedia’, ‘Drone’, and ‘Goodnight Moon’, all of which you can read below.\n

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 categoriesMeta-epidemiology (narrow)
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 score0.042
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.175
Teacher spread0.170 · 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
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
Published2019
Admission routes1
Has abstractyes

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