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Record W4417414651 · doi:10.1108/978-1-61735-537-0

John Dewey’s Great Debates-Reconstructed

2011· book· en· W4417414651 on OpenAlexfundno aff
Shane Ralston

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsnot available
FundersUniversity of OttawaYork UniversityTemple UniversityUniversity of MinnesotaWellesley College
KeywordsGrassrootsScholarshipContext (archaeology)Public life

Abstract

fetched live from OpenAlex

Confirming his moniker as 'America’s philosopher of democracy,' John Dewey engaged in a series of public debates over the course of his lifetime, vividly demonstrating how his thought translates into action. These debates made Dewey a household name and a renowned public intellectual during the early to mid-twentieth century, a time when the United States fought two World Wars, struggled through an economic depression, experienced explosive economic growth and spawned a grassroots movement that characterized an entire era: Progressivism.Unfortunately, much recent Dewey scholarship neglects to situate Dewey’s ideas in the broader context of his activities and engagements as a public intellectual. This project charts a path through two of Dewey’s actual debates with his contemporaries, Leon Trotsky and Robert Hutchins, to two reconstructed debates with contemporary intellectuals, E.D. Hirsch and Robert Talisse, both of whom criticized Dewey’s ideas long after the American philosopher’s death and, finally, to two recent debates, one on home schooling and the other on U.S. foreign policy, in which Dewey’s ideas offer a unique and compelling vision of a way forward.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.023
Scholarly communication0.0090.010
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.053
GPT teacher head0.213
Teacher spread0.160 · 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 designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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