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Record W242119756

A Great Plains Reader

2005· article· en· W242119756 on OpenAlexaboutno aff
Debbie A. Hanson

Bibliographic record

VenueWestern Folklore · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsVisionHistoryVariety (cybernetics)Theme (computing)Art historySociologyAnthropology
DOInot available

Abstract

fetched live from OpenAlex

A Great Reader. Edited by Diane D. Quantic and P. Jane Hafen. (Lincoln: University of Nebraska Press, 2003. Pp. xxii + 730, foreword, introduction, index of works. $70.00 cloth, $35.00 paper) As a fifteen-year resident of South Dakota, and as one who wrote a dissertation on Willa Gather, I believe that an anthology devoted to the Great in all its expanse and variety, is long overdue. Unfortunately, Diane D. Quantic and P. Jane Hafen's Great Reader is not that anthology. Despite its length, this volume simply does not do justice to the diverse issues and peoples of the Great and instead settles for reinforcing standard, outdated visions of a region that it never even clearly defines. According to the book's introduction,Toward a Definition of the Great Plains, Oklahoma, Kansas, Nebraska, South Dakota, and North Dakota, along with the southern portions of the Canadian provinces of Alberta and Saskatchewan, form the core for any definition of the Great Plains (xvii). Yet Minnesota authors are included, most notably Garrison Keillor. The presence of pieces by Keillor is especially puzzling. The claim that he qualifies as a Great writer because although his prairie is geographically a bit east of the Great metaphorically it is familiar terrain for Great (650) comes off as a weak excuse to add a well-known humorist's work to the book. Given the nationwide popularity of Keillor's radio show, A Prairie Home Companion, one could claim that Keillor's literary terrain is metaphorically familiar to residents of a great many places, but this does not make him a Great writer any more than it makes him a New England writer. Instead of Keillor's work, why not include selections from the equally entertaining Roger Welsch, a Nebraskan? And if Minnesota is somehow on the eastern rim of the Great why not look west and encompass the near portions of Wyoming and Montana, which are equally Plains-like, so we can add in works by the well-known and often-anthologized Gretel Ehrlich? Her essay collection The Solace of Open Spaces (1986) beautifully describes Great people, land, and issues. She could also provide another female voice in the volume, which includes nearly twice as many male as female authors. It is disappointing that our Reader, however subtly or unintentionally, appears to be endorsing the longstanding stereotype of the west as somehow exclusively a white man's domain. Aside from selections by a number of Native American and a very few African American writers, pieces by persons of color are lacking. Yet the population of the Great has never been entirely homogeneous and has become increasingly less so in recent years. …

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.203
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2030.137

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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
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
Published2005
Admission routes1
Has abstractyes

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