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Record W2024064715 · doi:10.1177/0973408214548362

Scope and Impact of Global Actions under UNDESD

2014· article· en· W2024064715 on OpenAlexaff
Charles Hopkins

Bibliographic record

VenueJournal of Education for Sustainable Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsYork University
Fundersnot available
KeywordsScope (computer science)CurriculumEducation for sustainable developmentPolitical scienceAction (physics)Environmental educationPublic relationsGlobal educationScale (ratio)Closing (real estate)Sustainable developmentSociologyEngineering ethicsPedagogyLawEngineeringGeography

Abstract

fetched live from OpenAlex

As the UN Decade of Education for Sustainable Development ends, there will be celebrations and the inevitable reporting on activities and outcomes. Countless meetings, events, and sessions have occurred around the world. This opinion piece acknowledges three significant events or outcomes that are shaping the future of ESD within formal education on a global scale. For this author, the first major outcome was the UNESCO World Conference in Bonn (2009) where representatives from most influentially significant ministries of education discussed and planned the future of ESD. The second was the movement conceptually of ESD from the periphery to a core component of quality education. The third was the concept of ESD more as a purpose of education comprised of not only curriculum content but new approaches to pedagogy. In closing the determination of nations to launch the new Global Action Programme is a testimony of the success of the UNDESD.

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)0.009
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0060.004
Open science0.0010.016
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.397
Teacher spread0.369 · 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 designObservational
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

Citations7
Published2014
Admission routes1
Has abstractyes

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