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Record W6992586174

Marianne Chan, 46th Annual ODU Literary Festival

2023· article· en· W6992586174 on OpenAlexaboutno aff

Bibliographic record

VenueODU Digital Commons (Old Dominion University) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryCreative writingState (computer science)Performance artCanadian literatureNew england
DOInot available

Abstract

fetched live from OpenAlex

Marianne Chan grew up in Stuttgart, Germany, and Lansing, Michigan. After she earned her B.A. in English from Michigan State University, she went on to study poetry at the University of Nevada, Las Vegas, where she earned her MFA. Marianne is the author of All Heathens, which was the winner of the 2021 GLCA New Writers Award in Poetry, the 2021 Ohioana Book Award in Poetry, and the 2022 Association for Asian American Studies Book Award for Outstanding Achievement. Her poems have appeared in Poetry Magazine, New England Review, Kenyon Review, Michigan Quarterly Review, and elsewhere. Between 2017-2019, she served as poetry editor for Split Lip Magazine. She is a Kundiman fellow. She lives in Norfolk, Virginia . She is married to the fiction writer Clancy McGilligan.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.224
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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