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Record W7059571864

Gilbert Sorrentino

2022· article· en· W7059571864 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryQuarter (Canadian coin)FriendshipChoseMemoirScholarship
DOInot available

Abstract

fetched live from OpenAlex

Gilbert Sorrentino (1929–2006) was an experimental writer and poet who wrote 19 novels, 10 collections of poetry, a book of essays, a collection of stories, and a novella. He is particularly known for his use of formal constraints and metafictional conceits. Sorrentino was born in Brooklyn on April 7, 1929, and went to public schools there. Although he had two stints at Brooklyn College in the 1950s, he never completed his degree, and is usually considered an autodidact. He served in the Medical Corps of the US Army, and, upon leaving in 1953, decided to become a writer. Sorrentino's first marriage to Elsene Wiessner ended in 1960 after a cross-country road trip, which he fictionalized in The Sky Changes (1966). They had two children, Jesse and Delia. Sorrentino subsequently married Victoria Ortiz and had another child, the novelist Christopher Sorrentino. Sorrentino achieved some early renown as a poet with links to Robert Creeley and the Black Mountain school. He founded the journal Neon with Hugh Selby, Jr. and others and served as its editor until 1960. During this period, William Carlos Williams included a small piece of Sorrentino's writing in Book Five of the long poem Paterson (1958). He then edited the journal Kulchur in the early 1960s and worked as an editor at Grove Press under Barney Rossett through the end of the 1960s. Sorrentino also had a long friendship with John O'Brien, and encouraged him to create the Review of Contemporary Fiction and Dalkey Archive Press.

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)0.003
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 score0.941
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0590.023

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 head0.013
GPT teacher head0.188
Teacher spread0.175 · 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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