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Record W7135165180

Campfire Sessions as Contemplative Intervention to Facilitate the Redesign of Education for Regenerative Systems Change

2023· article· en· W7135165180 on OpenAlexaff
Aniek Draaisma, Bas van den Berg

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsContemplationCurriculumIntervention (counseling)SustainabilityPsychological interventionProcess (computing)State (computer science)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The world today is facing sustainability challenges that will ultimately lead humanity into a state of deep crisis. This state of the world requires an educational transformation in today’s context. There is no shortage of possible alternative educational practices to meet the needs of a society in transition. However, there is a lack of knowledge and skills on how to implement these practices in the educational system in a sustainable way, with plenty of internal and external resistance. The field of education is experiencing a lack of capacity and willingness to respond to the demands of our time by successfully initiating forms of systemic change. This initial study helps us to explore contemplative campfire sessions as a vehicle for educational change, facilitating slowness, dialogue and space for a solidly built new structure. To this end, we explored metaphorical campfires as sites for micro-phenomenological interventions inspired by the principles of regenerative education. These sessions were co-created with Built Environment teachers who are in the process of redesigning their curriculum for the transition challenges facing cities (e.g. increasing numbers of people living in cities, energy transition, smart integration of water, issues of mobility). It is too early to claim that contemplative bonfires are the ingenious solution to our transition problems, but our exploration has shown promising results in prioritising, designing and implementing educational change issues.

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 categoriesScience and technology studies
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 score0.944
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 communication0.0000.001
Open science0.0010.001
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 head0.195
GPT teacher head0.366
Teacher spread0.172 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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