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Record W2319960059 · doi:10.1093/ahr/117.4.1243

Scott M. Gelber. The University and the People: Envisioning American Higher Education in an Era of Populist Protest.

2012· article· en· W2319960059 on OpenAlexaff
Michael J. Dennis

Bibliographic record

VenueThe American Historical Review · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsAcadia University
Fundersnot available
KeywordsPopulismState (computer science)PoliticsRhetorical questionPolitical scienceVocational educationSociologyWhite (mutation)Gilded AgeHigher educationLawMedia studiesPublic administrationPolitical economyEconomic historyHistoryArt

Abstract

fetched live from OpenAlex

In an era when market-driven imperatives seem to dominate the agenda in higher education, it is easy enough to forget that policymakers ever proposed an alternative set of values for the American university. Exploring the brief period of Populist ascendancy in the Gilded Age, Scott M. Gelber reminds us that this was indeed the case. In a tightly organized, effectively written, and prodigiously documented analysis, he subtly suggests that the Populist era offers a potential corrective to our own. Focusing on Kansas, Nebraska, and North Carolina, states where Populism briefly gained a political foothold, Gelber challenges the stereotype of Populist anti-intellectualism. “Contrary to popular wisdom,” the author writes, “the movement was not uniformly hostile to state colleges and universities” (p. 15). The few Populists who gained influence over the groves of academe may have championed free tuition, broader access, and vocational education, but they also defended the social sciences and humanities. They wielded menacing rhetorical axes, but Populist legislators usually protected and even enhanced state funding for higher education. They also expanded state facilities for white women and poor farmers. What motivated professors such as Thomas E. Will of the Kansas State Agricultural College and administrators such as James Hulme Canfield of the University of Nebraska was not the opportunity of tearing down elitist institutions but the chance to transform them into more egalitarian sites of critical thinking and social improvement (p. 168).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.047

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 studies0.0110.008
Scholarly communication0.0070.010
Open science0.0010.003
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0070.002

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 head0.022
GPT teacher head0.250
Teacher spread0.229 · 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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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