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Record W2783728856 · doi:10.1080/13504622.2017.1422114

From reticence to resistance: understanding educators’ engagement with indigenous environmental issues in Canada

2018· article· en· W2783728856 on OpenAlexafffundabout
Gregory Lowan‐Trudeau

Bibliographic record

VenueEnvironmental Education Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousEnvironmental educationVariety (cybernetics)Resistance (ecology)Engineering ethicsSociologyPedagogyResource (disambiguation)Environmental ethicsPublic relationsPolitical scienceEcologyEngineering

Abstract

fetched live from OpenAlex

Educators who introduce critical socio-ecological issues into learning contexts often experience formidable internal and external challenges. This is especially true when intersecting Indigenous and environmental issues are involved. Compounding such difficulties in Canada is an inadequate level of pre-service, curricular, resource, and research support in this area. As such, while an increasing number of bold educators are incorporating discussion of Indigenous environmental issues, activism, and related history, law, and policy into their teaching practice, many others are interested, but remain understandably reticent. This study explored the experiences of educators in a variety of contexts across Canada with attempting to incorporate critical consideration of Indigenous environmental issues into their teaching practice. Findings include discussion of challenges encountered, successful strategies employed, the societal significance of these considerations, and future research possibilities.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.028
GPT teacher head0.327
Teacher spread0.299 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations12
Published2018
Admission routes3
Has abstractyes

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