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Record W2165178050

Tensions and Opportunities: A Baseline Study of Teachers' Views of Environmental Education.

2014· article· en· W2165178050 on OpenAlexaboutno aff
Erminia Pedretti, Joanne Nazir

Bibliographic record

VenueThe International Journal of Environmental and Science Education · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental educationBaseline (sea)HappeningIntervention (counseling)Field (mathematics)PedagogyPsychologySample (material)SociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The paper reports on a study designed to produce a portrait of teachers’ self-reported views of environmental education in Ontario. The mixed method study consisted of an on-line survey (N=377), supplemented by a series of in depth interviews with a volunteer sample (N=24) of the survey respondents. In addition to providing a reasonable and helpful portrayal of what is happening in environmental education at a classroom level in Ontario, further data analysis revealed the existence of certain tensions within participants’ views and reported practices. These tensions we believe, partly explain the limited practice and challenges of environmental education in Ontario classrooms. We have interpreted these tensions as important entry points or opportunities for positive intervention, and discussed how they can be used to stimulate pedagogical development in the field. At an international level, we believe the paper provides deeper insights about the nature of environmental education and its relationship to schooling from the perspectives of teachers.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.287
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.

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

Citations20
Published2014
Admission routes1
Has abstractyes

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