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Record W2081814764 · doi:10.1212/wnl.59.3.467

Poem

2002· article· en· W2081814764 on OpenAlexaboutno aff
Abdul N Kamal

Bibliographic record

VenueNeurology · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryStyle (visual arts)Face (sociological concept)Character (mathematics)LiteratureHistoryPsychologyPhilosophyArtLinguisticsMathematics

Abstract

fetched live from OpenAlex

Humanities Editor’s Note: Professor Kamal’s poem, “A prodigal night,” appears here exactly as it was received from the author, who assured me, “As for the poem, I am the sole author. The idea of this poem was in my head for more then one year, if only I could write in my words. It took me three weeks [in June, 2001] to write that poem.” I have edited Kamal’s personal history for focus and length but have kept his wording. No “[sic]” has been added after an error: it is Kamal’s success, rather than any remaining imperfection, that deserves our attention. Instead, brackets enclose editorial comments, or material excerpted from the original that no longer preserves the original style. Mistakes do appear in the text. They mark the way he has traveled. For that reason, I have left them. Personal History [received March 8, 2002]: My colleagues know me as Kamal . . . My stroke occurred on April 4, 2000, at home at about 9:45 pm. I had done my twice week exercise at 5:00 pm to 6:30 pm with the Cardiac Athletic Society of Edmonton - every one had a kind of cardiac disorder - then I took my dinner at about 8:00 pm. I was tired and I must have fallen asleep. When I woke up, the picture on TV seemed to be wrong - the face of a character was bloated on my left side. I phoned my son and I told me “some thing is wrong with me.” My son asked me “can you tell me how you feel?” and very quickly I made no sense. My son had alert paramedics and I could hear a female voice asking me to “keep taking”, “can you open the door?” Did I really open the door? I’m …

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 score0.711
Threshold uncertainty score0.992

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.052
GPT teacher head0.208
Teacher spread0.156 · 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
Published2002
Admission routes1
Has abstractyes

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