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Record W4286809340 · doi:10.1353/soh.2022.0158

Southern Journey: The Migrations of the American South, 1790–2020 by Edward L. Ayers

2022· article· en· W4286809340 on OpenAlexaboutno aff
Robert Cassanello

Bibliographic record

VenueThe Journal of Southern History · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)PoliticsHistoryCasualArt historyPassionNarrativePublishingArtLawPolitical scienceLiterature

Abstract

fetched live from OpenAlex

Reviewed by: Southern Journey: The Migrations of the American South, 1790–2020by Edward L. Ayers Robert Cassanello Southern Journey: The Migrations of the American South, 1790–2020. By Edward L. Ayers. Maps by Justin Madron and Nathaniel Ayers. Walter Lynwood Fleming Lectures in Southern History. ( Baton Rouge: Louisiana State University Press, 2020. Pp. xiv, 153. $39.95, ISBN 978-0-8071-7301-5.) Edward L. Ayers has combined his passion for digital history methods and traditional hard copy publications in a book that examines migration patterns in the South throughout the entire history of the United States. The book, upon casual inspection, appears like a coffee-table book. It is oversized with a cloth binding and vivid color photos on almost every page. Ayers builds a grand narrative about the South as ever-changing due to migrations, which should once and for all put to rest W. J. Cash's Mind of the South(New York, 1941), which depicts the South as a geography and people that are unchanging and unchanged. Ayers's South is constantly on the move, and the people who inhabit it are responding to economic, environmental, social, and political push and pull factors. The endnotes catalog all the major works on migration as well as document a deep dive into minor works that might be only state or locally focused. Ayers provides a narrative text to accompany the numerous maps, graphs, and charts that are embedded on almost every page of the book. Scholars researching and publishing on migration and the South might not find anything new in the text. Although the maps reproduced here are stunning to look at, they tell only a limited story because each is based on one or two variables. For example, one map titled "White Population Change, 1980–1990," we are told, demonstrates the white abandonment of the rural South except for Florida and the upper South (p. 111). We have only one data point, that of race, to work with here; if we could also see age, we could understand that the migration to Florida might be partly an aged migration such as those tracked by William H. Frey or a snowbird migration from Canada and the Northeast as documented by Godefroy Desrosiers-Lauzon in Florida's Snowbirds: Spectacle, Mobility, and Community since 1945(Montreal, 2011). The Florida case probably was dominated by a much different demographic of people than those who moved to the upper South during the same decades. Ayers explains these differences in the text, at least regarding the Florida migration, but the map cannot visually tell that same story. The first map of the book is "Southern Soils and Rivers" (p. xi). The rest of the maps are clearly marked and have keys, but for some reason this first map does not. In this map we see different colors to represent different soils; however, what the different colors represent is left to the imagination and not explained. This was the one map I was not sure what to make of or how to interpret al.so, the inclusion of Native peoples in the South is a surprise addition; however, due to the lack of specifics and [End Page 596]accuracy in the original data, these maps are overgeneralized to represent the few Indigenous nations and tribes most familiar to nonacademics. The text does a better job of explaining how to think about Native peoples and migration, but the maps in these cases do not offer much to researchers; the only value might be to locate the secondary sources Ayers has drawn this material from for the text. This book is a valuable asset to anyone interested in migration in the South; it is an indispensable first step. At the end of the book there is a list of all the sites used to create those maps, so anyone can go to those digital sources and create follow-up maps with more specific or multiple variables to dig deeper and tell further stories of migrations in the South, at least as long as those websites are still around. Robert Cassanello University of Central Florida Copyright © 2022 The Southern Historical Association

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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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0310.010

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 head0.024
GPT teacher head0.204
Teacher spread0.181 · 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
GenreReview

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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