The Awakened Heart of the Mindful Teacher: A Contemplative Exploration.
Bibliographic record
Abstract
This dissertation is a contemplative narration of my lived experience of bringing mindfulness into my teaching. The dissertation first portrays the process of entering into the dialogic space of mindfulness as a Buddhist concept intersecting with the scientific, educational, and public domains. I then describe the contemplative reflection process I used to explore my incorporation of mindfulness into my teaching praxis. From this, I wrote contemplative reflections during a year and half. In this way, I tried to embody mindfulness in my methodology. I used the same process to contemplate these reflections to deepen my understanding and identify themes. The two main themes I arrived at are an openhearted quality (bodhichitta) and a newfound openness that resulted from bringing mindfulness to my professional spaces. I illustrate these themes through six contemplative narratives that portray my heightened consciousness of how my embodiment of mindfulness has influenced my classroom presence and opened my heart. Each contemplative reflection narrates the quality of open awareness towards my own and others’ emotions – good and bad. Each narrative also includes a reflective aspect that explores the themes that emerged. My contemplative reflections illustrate how mindfulness helped me stay open to both the joy and the pain of teaching. Mindfulness practices also provided me with the social and emotional awareness and tools to confront the highly emotional and sometimes volatile space of public schools. My contemplative reflections depict the lived experience of mindfully working through the positive and negative experiences of daily life in public school. Coming from the place of an open heart makes teaching much more rich and full of joy, but at the same time also makes the painful parts of teaching and working in a public, bureaucratic institution more palpable. However, by using my mindfulness practices to delve into that pain, I felt my connection to others, which brought about compassion and a desire to help.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".