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Record W3081145613 · doi:10.1177/1053825920952086

Contemplative Pedagogy: Fostering Transformative Learning in a Critical Service Learning Course

2020· article· en· W3081145613 on OpenAlex

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

VenueJournal of Experiential Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsBrock University
Fundersnot available
KeywordsTransformative learningService-learningPedagogyExperiential learningPsychologyMindfulnessMathematics education

Abstract

fetched live from OpenAlex

Background: Research demonstrating the positive outcomes of service learning among university students is robust and some describe the impact as transformative. Purpose: To help me better understand how I can support transformative learning in my classroom, this study explored how an intergenerational critical service learning project fostered change among student participants. Methodology/Approach: Data consisted of reflection journals collected over 6 years from 228 students who participated in a course-based intergenerational service learning project and researcher field notes. Using a qualitative design and narrative methodology analysis took place over a 2-year period and consisted of a 3-stage process: deep reading, identifying stories, and re-storying to generate findings. Findings/Conclusions: Three mechanisms were found to foster transformation among students—writing as inquiry, embodied learning, and mindfulness. The two-pronged contemplative approach used in this course informs the way in which students experience the critical service learning project. Together, they provide a deep and transformative learning opportunity. Implications: Insights into course design and pedagogical approaches that support transformative learning.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.107
GPT teacher head0.454
Teacher spread0.347 · 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