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Record W4247311633 · doi:10.1017/9781787445857.008

Selected Poetry of Hubert Foss

2019· book-chapter· en· W4247311633 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryArtArt historyLiterature

Abstract

fetched live from OpenAlex

Hubert was an avid reader of English literature and particularly of English poetry, and he composed poems from childhood. Many were occasional poems, for births, birthdays and anniversaries; others were linked to places and events. Most are clever, light and humorous, and reflect the musical talent which he possessed in abundance. While in the 1920s he contributed a few poems to such journals as The New Witness and New Age, they were generally written for private enjoyment. This small selection is devoted to the poems he dedicated to his beloved Dora. Some carry a date and/or the occasion. TO DORA, FOR MUSIC 18–19 February 1939, Toronto The swan sings again, Firm-necked, courage-eyed: It was not her last song. She sails, through thickening rushes Into the open water Splendid as strong men swimming, Or quiet, like a cat in a corner Whose avenues none can follow. The sound of her breath, her voice renewed, A low note, a high note – She is the one singing swan, She will sing at my death, And joy my mourners. DORA Christmas [undated] When Christmas time is coming round, I feel my view is wrong, For everyone is all a-bound, Their hearts are full of song, They yearn and itch and long! While I would rather go to ground Till all the glories have been found. Here is a little extra thing That might assist your nose, It's black, and therefore does not ring ’gainst bag or winter/summer clothes. (I scorned the peach and rose!) If it encourages you to sing, that will be, once more, everything. It's rightly called (I'm told) compact (of what I have no notion), I learnt at school Latin and tact, All about land and ocean, Deportment and free motion. Assisted by more lotion! Your use will prove the name a fact; I'll learn on seeing how you act. It seems to me a curious toy, As swift to pass as water, But as you have a strapping boy, An enviable daughter, I offer it in hope some joy will follow in its train some time (I've had to change the scheme of rhyme) And ask you to believe that I'm Affectionately Hubert.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.028
GPT teacher head0.307
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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