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Record W2995836875

Measuring the Prevalence of Ecopedagogy in the Manitoba Senior Years Curriculum: A Critical Content Analysis

2019· article· en· W2995836875 on OpenAlex
William B. Burton

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCurriculumContent (measure theory)PsychologyPedagogyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to uncover whether the Manitoba Senior Years curricula made compulsory for graduation are sufficiently meeting the needs of learners, situated in the global efforts to both tackle and adapt to climate change. Crucially, the United Nations has repeatedly identified education, specifically public education as humankind's best opportunity to raise a generation of environmentally-conscious students capable of taking on these challenges. As curriculum is developed and published by the Provincial Government in Manitoba and sets the agenda of learning in the Manitoba classroom, it is essential that curriculum address these planetary needs. Through a critical content analysis methodology, this journal article will apply codes drawn from the Earth Charter (2000) to 29 compulsory and elective Manitoba Senior Years curricula to gauge the extent that learners are exposed to environmental content. An analysis and three recommendations aimed at schools and the Province of Manitoba to move towards aligning with the Earth Charter (2000) will conclude the study.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.351
GPT teacher head0.524
Teacher spread0.173 · 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