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2022· book-chapter· en· W4391083175 on OpenAlexaboutno aff
Berkley Hudson

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsChapelCourtesyThe artsArt historyMillerLibrary scienceIndex (typography)ArtHistoryVisual artsLawPolitical science

Abstract

fetched live from OpenAlex

Extract © 2022 Berkley Hudson All rights reserved Manufactured in Canada Designed and set by Kim Bryant in Miller and Acie types The University of North Carolina Press has been a member of the Green Press Initiative since 2003. Cover illustration courtesy of the Pruitt-Shanks Collection, Southern Historical Collection, Wilson Library, University of North Carolina at Chapel Hill Library of Congress Cataloging-in-Publication Data Names: Hudson, Fraser Berkley, author. Title: O.N. Pruitt’s Possum Town : photographing trouble and resistance in the American South / Berkley Hudson. Other titles: Documentary arts and culture. Description: Chapel Hill : The University of North Carolina Press ; [Durham, North Carolina] : Published in association with the Center for Documentary Studies at Duke University, 2021. | Series: Documentary arts and culture | Includes bibliographical references and index. Identifiers: LCCN 2021038334 | ISBN 9781469662701 (cloth ; alk. paper) | ISBN 9781469662718 (ebook) Subjects: LCSH: Pruitt, O. N., 1891–1967. | Documentary photography—

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9110.870

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 head0.043
GPT teacher head0.194
Teacher spread0.151 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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