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Record W2137589891 · doi:10.1109/cie.2002.1186183

Cross-cultural Internet based resource for teaching democracy

2003· article· en· W2137589891 on OpenAlexaffabout
Ilia Goldfarb, Irina Kondratova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsNational Research Council CanadaUniversity of New Brunswick
Fundersnot available
KeywordsDemocracyThe InternetGeneral partnershipCyberspaceCurriculumCitizenshipPublic relationsPolitical scienceResource (disambiguation)Value (mathematics)Meaning (existential)SociologyPedagogyPsychologyComputer scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

The Spirit of Democracy Project was initiated in 2000 by the Citizenship Education Group at UNB, Canada, in partnership with the Russian Association for Civic Education. The goal of this project is to help Russian educators to develop a new dynamic approach to citizenship education in public schools. The focus of the Project is the development of online curriculum resources for use by teachers in Russia and Canada. The Canadian and Russian project teams are developing materials for similar topics based on local content. Researchers create learning opportunities using situations and springboards. The situations present democratic issues and concepts, for example the value of loyalty, or the meaning of privacy. An important role in the Project is assigned to visual materials and creative use of hypermedia. The project site brought together a community of practice in cyberspace-a community of social studies researchers and teachers from Russia and Canada.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.001
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0450.006

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 head0.101
GPT teacher head0.432
Teacher spread0.331 · 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

Citations1
Published2003
Admission routes2
Has abstractyes

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