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Record W3091368924 · doi:10.5539/jsd.v13n5p15

School Leadership for Sustainable Development: A Scoping Review

2020· review· en· W3091368924 on OpenAlexaffvenue
Idowu Mary Mogaji, Paul Newton

Bibliographic record

VenueJournal of Sustainable Development · 2020
Typereview
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEducation for sustainable developmentTerminologySustainabilitySustainable developmentContext (archaeology)Political scienceSociologyPublic relationsEngineering ethicsGeographyEngineering

Abstract

fetched live from OpenAlex

Sustainable development within educational institutions encompasses an array of objectives as outlined in Agenda 21 (United Nations [UN], 1992). We recognize in this paper that there are cognate terminologies in the field of sustainable development: Education for Sustainable Development (ESD), Education for Sustainability (EfS), Development Education (DE), and Sustainability Education (SE). As stated in the Education for Sustainable Development toolkit (McKeown, 2002), ESD is the terminology most often employed within UN documents; hence, we also employ ESD because it is the term utilized by UNESCO and at the international level. Thus, we avoid the many debates about these terminologies in this paper. The fundamental interest of this review is to assess the current status of school leadership for sustainable development in the K-12 context. With the help of a scoping review, three literature databases were combed to achieve this purpose. The findings reveal school leaders’ perceptions of sustainable development as well as their motives for engaging in ESD. Our analysis indicates that school leaders vaguely understand the term ‘sustainable development,’ and they interpret ESD from the lens of the environment and society. Thus, the economy component of ESD may be de-emphasized in implementation efforts.

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 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.876
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.326
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2020
Admission routes2
Has abstractyes

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