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Record W2170109918 · doi:10.59236/ijea10n26

Developing Ecological Habits of Mind Through the Arts

2009· article· en· W2170109918 on OpenAlexafffund
Рена Упитис

Bibliographic record

VenueInternational journal of education and the arts · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaQueen's University
KeywordsThe artsOutdoor educationEnvironmental educationWildernessPsychologyExperiential learningPedagogySociologyMedical educationEcologyVisual artsMedicine

Abstract

fetched live from OpenAlex

This study describes the experiences of nine school-based artists who took part in a six-day professional development course on ecology and the arts at an off-grid wilderness facility. The course was designed to increase artist-educators’ awareness of issues surrounding energy use and consumption as well as to provide them with direction for approaching these topics through arts-based learning in schools. Analyzing participants’ views regarding renewable and non-renewable energy use, as well as documenting anticipated changes in personal and professional practices, were two important aspects of the research. Data were collected through observations and field notes over the six-day period, and through semi-standardized interviews which were conducted at the end of the course. Participants also completed an on-line survey regarding various energy conservation and consumption issues before arriving for the course. In the interviews, the artist-educators detailed what they learned about thermal mass, solar power, and consumer purchasing patterns. Most participants anticipated making changes in their home lives, such as cooking with locally available produce. Participants also described anticipated interactions with teachers and students upon returning to their local schools, both in terms of content related to energy conservation and ways that they would approach this topic through their respective art forms. Some participants also indicated how they anticipated changing their own artistic practices in their studio settings, such as switching to less toxic materials and using fewer consumable items. Having the opportunity to live at an off-grid wilderness facility was a key feature of the course for all of the artist-educators who took part in the experience.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.082
GPT teacher head0.321
Teacher spread0.239 · 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 designTheoretical or conceptual
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

Citations5
Published2009
Admission routes2
Has abstractyes

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