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Record W3006610894 · doi:10.2478/jtes-2019-0020

ESD for All: Learnings from the #IndigenousESD Global Research

2019· article· en· W3006610894 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Teacher Education for Sustainability · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education Systems and Policies
Canadian institutionsYork University
FundersYork University
KeywordsIndigenousMainstreamIndigenous educationTraditional knowledgeLivelihoodEducation for sustainable developmentSociologyCommunity educationIdentity (music)Relevance (law)Public relationsPedagogyEconomic growthSustainable developmentPolitical scienceGeographyEcologyLaw

Abstract

fetched live from OpenAlex

Abstract Education is recognized a human right for all. Though, Indigenous communities do not yet enjoy their full rights to education and are put at risk of losing their Indigenous culture and identity. A new research initiative, holding dialogues discussing the perceived outcomes of quality education in the eyes of several stakeholders, shows that access and retention in equitable and inclusive quality education as described in SDG 4 are highly valued. The research was jointly developed and carried out by researchers and Indigenous communities in 29 countries. Twenty-first century knowledge and skills are crucial for future Indigenous generations to create their livelihood and successfully engage in both Indigenous community life as well as mainstream society. Learning within formal school systems to understand their Indigenous heritage and keep the connection to their environment despite aspiring modern lifestyles, creates relevance which enhances both learning and retention. Beyond twenty-first century competencies, vital elements of education quality seen as relevant for Indigenous youth are aligned with education for sustainable development and applicable for all learners.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.480
Teacher spread0.419 · 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