MétaCan
Menu
Back to cohort
Record W2099643241 · doi:10.1080/00094056.2015.1090845

Early Childhood Education and Sustainability: A Living Curriculum

2015· article· en· W2099643241 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChildhood Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSustainabilityOverpopulationSustainable developmentEducation for sustainable developmentSustainable livingEnvironmental ethicsCurriculumEconomic growthPolitical scienceFood securityGlobal citizenshipEnvironmental educationPublic relationsSociologyEconomicsPopulationLawGeographyEcologyAgriculture

Abstract

fetched live from OpenAlex

As climate change, overpopulation, and inequalities begin to take their toll on our planet and on global human development, sustainability has become increasingly important for a prosperous future. How can we ensure quality of life for future generations? How can we make choices and cultivate environments in which sustainable practices are the norm? Over the past several years, the international community has been developing global goals to promote human rights, equality, and security through 2030. These Sustainable Development Goals are designed to create conditions in which every person on earth is able to thrive in societies that are safe, progressive, nurturing, just, and peaceful. Children and their families will have a vital role to play in creating these societies and will need a strong foundation in sustainable thinking and practices to bring about a brighter future.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.287
Teacher spread0.278 · 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