MétaCan
Menu
Back to cohort
Record W2325676796 · doi:10.1177/0973408215625549

The Living School: The Emergence of a Transformative Sustainability Education Paradigm

2016· article· en· W2325676796 on OpenAlexaff
Catherine O’Brien, Patrick Howard

Bibliographic record

VenueJournal of Education for Sustainable Development · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsCape Breton University
Fundersnot available
KeywordsTransformative learningFraming (construction)Paradigm shiftSustainabilityEnvironmental ethicsSociologyGlobal educationEnvironmental educationSustainable livingPolitical scienceEngineering ethicsPublic relationsEconomic growthPedagogyEcologyEpistemologyEngineering

Abstract

fetched live from OpenAlex

Education, as it was initially organized in the late nineteenth and early twentieth centuries, was designed to meet very different challenges than those we face today. There have been many efforts to shift education to address new contexts that result from societal transformation. There have also been international initiatives in response to interconnected global issues that impact ecological systems, the viability of economies and communities and the health and well-being of people. This article offers a perspective that aligns with Hopkins’ (2013) view that the repurposing of education must reflect a vision that contributes to well-being for all—individually, collectively and for the ‘other than human’ life on our planet. As part of an emerging transformative sustainability education paradigm, this article offers a philosophical framework and points to certain theoretical and practical dimensions for what the authors are framing as the Living School concept.

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)0.008
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.063
Scholarly communication0.0120.015
Open science0.0020.008
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.262
Teacher spread0.255 · 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

Citations43
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Education for Sustainable DevelopmentSame topicEnvironmental Education and SustainabilityFrench-language works237,207