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Record W7095961593

ESSENTIAL ELEMENTS OF EDUCATION FOR DEMOCRACY: WHAT ARE THEY AND WHY SHOULD THEY BE AT THE CORE OF THE CURRICULUM IN SCHOOLS?

2003· article· en· W7095961593 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyCurriculumQuarter (Canadian coin)Core curriculumCore (optical fiber)Democratic education
DOInot available

Abstract

fetched live from OpenAlex

of Communism. ” Well, Marx’s specter has faded, and in today’s world, democracy and liberty have superceded it. During the last quarter of the 20th century, there has been a global surge of democracy that has transformed international relations and inspired peoples in places throughout the world. The current and continuing advance of democracy in the governments of nation-states has brought about a correspondingly strong surge of education for democracy. In particular, I know leaders of post-communist countries in Southeastern Europe who recognize that the development of an authentic democracy depends, in large part, upon the education of competent citizens. They want to teach students what democracy is and what it is not, how to practice democracy, and why it is good—or at least better than the alternatives to it. The rising tide of international interest in education for democracy has stimulated fresh thinking about education for democracy in my country, the United States of America. As educators from around the world have turned

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)0.011
metaresearch head score (Gemma)0.020
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0080.035
Scholarly communication0.0120.019
Open science0.0010.009
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0100.002

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 head0.028
GPT teacher head0.286
Teacher spread0.257 · 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
GenreEmpirical

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
Published2003
Admission routes1
Has abstractyes

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Same topicHistory of Computing TechnologiesFrench-language works237,207