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Record W2955553731

Ecopedagogy, The Earth Charter, and Manitoba curriculum: a critical content analysis

2019· dissertation· en· W2955553731 on OpenAlexaboutno aff
William B. Burton

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsCharterEarth (classical element)CurriculumContent analysisPolitical scienceSociologySocial scienceLawMathematics
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 our needs as a province, situated in the global efforts to both tackle and adapt to climate change. My central argument is: the environmental crisis is the central crisis of our time and failure to address this will lead to large sections of planet earth, including Manitoba, being unable to sustain human life. Crucially, the United Nations has repeatedly identified education, specifically public education as humankind's best opportunity to raise a generation of ecoliterate 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. This research study will research whether the compulsory and elective Manitoba Senior Years curriculum meet the criteria set by the United Nations in The Earth Charter (2000). Through a critical content analysis methodology, this thesis will detail the application of the Earth Charter as a metric to gauge the extent that Manitoba curriculum promote the ideals of creating a “just, sustainable and peaceful society” (United Nations, 2000). An analysis and nine recommendations will be presented as a way to ensure that the Manitoba Senior Years curriculum more fully aligns with the Earth Charter (2000).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.033
GPT teacher head0.275
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicIndigenous and Place-Based EducationFrench-language works237,207