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Record W4316094583 · doi:10.46827/ejes.v10i1.4618

ENVIRONMENTAL EDUCATION: INTERPRETATIONS AND PERCEPTIONS

2023· article· en· W4316094583 on OpenAlex
Matthew Etherington

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.

Bibliographic record

VenueEuropean Journal of Education Studies · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsPsychologySociologySocial psychology

Abstract

fetched live from OpenAlex

<p>How can we address the challenges inherent in the role and relationship that humans have with nature? I say ‘we’ because I hold the view that it should take a ‘village’ to resolve the challenges related to nature and the environment. When all community members are heard, included, and supported, everyone has an opportunity to learn from the journeys of lived experiences. The second question is how we should relate to nature in the third and fourth decades of the twenty-first century. Should human beings leave nature entirely alone or should we involve ourselves in nature as never before. This article investigates these questions in juxtaposition with the idea of <em>nature as teacher</em>.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0208/a.php" alt="Hit counter" /></p>

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.309
Teacher spread0.293 · 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